Unnamed: 0
int64 0
6.64k
| title
stringlengths 4
125
| enrolled
stringlengths 5
27
| rating
stringclasses 22
values | num_reviews
float64 1
229k
⌀ | Instructor
stringlengths 2
66
⌀ | Organization
stringclasses 298
values | Skills
stringlengths 2
462
| Description
stringlengths 123
32.8k
⌀ | Modules/Courses
stringclasses 43
values | Level
stringclasses 3
values | Schedule
stringclasses 130
values | URL
stringlengths 33
128
| Satisfaction Rate
stringclasses 29
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6,500 | Teaching Tips for Tricky English Grammar | 20,528 | 4.3 | 54 | Tamy Chapman | University of California, Irvine | [] | This is the third course in the Teach English: Intermediate Grammar specialization. It will be useful to ESL teachers or those interested in learning to teach English language, but it is not an introduction to teaching course. You will learn about some specific problems students have learning intermediate grammar. You will learn why students have trouble with this tricky grammar and find out new ways to help students conquer it. You will also learn a variety of activities for teaching this content in a fun and interesting way. Finally, you will have opportunities to practice the skills you learn by creating sample assignments and recording short videos of your teaching demonstrations using a video camera, webcam, or smartphone. Learners wanting a grade will be required to submit short videos of their teaching skills. Only learners who pay for the course will be able to take the graded quizzes or submit assignments for feedback. The free version provides access to the lectures and practice activities only. This is the third course in the Learn English: Intermediate Grammar specialization. Learning English can be tricky, and in this class you'll focus on some of those tricky issues. You'll get clear explanations about the difficult grammar points and practice in using them correctly. 4 videos1 reading1 peer review This week, you'll learn about teaching tricky nouns, articles, and quantifiers. Students get confused about when to put "a" or "the" in front of a noun and when to put nothing in front of the noun. In this module, you'll learn new ways to help them with this difficult grammar, and you'll have an opportunity to create your own lesson and submit a video demonstrating your teaching skills. 6 videos4 readings2 assignments2 peer reviews This week will learn more about teaching tricky grammar. First, you'll learn about teaching gerunds and infinitives. Then you'll learn about teaching two concepts with modals--making requests and asking for permission--grammar that English learners often make mistakes with. 7 videos4 readings2 assignments2 peer reviews You've learned about teaching some tricky grammar, but there are other things that make English hard to learn. This week, you'll learn about teaching some word forms that cause confusion. You'll also get another chance to practice what you've learned and demonstrate your teaching skills by sharing a video of your teacher talk. 6 videos4 readings2 assignments2 peer reviews In the final week of the course, you'll learn about teaching phrasal verbs and collocations. This tricky grammar also causes problems for students even at higher levels. You'll get one more chance to create an effective activity for students to practice this grammar and to create a video demonstrating your teacher talk. 5 videos5 readings2 assignments2 peer reviews | 5 modules | Intermediate level | null | https://www.coursera.org/learn/teaching-common-grammar-mistakes | 97% |
6,501 | Advanced Routing, Infrastructure, and Network Management | Enrollment number not found | Rating not found | null | Packt - Course Instructors | Packt | ['BGP', 'OSPF', 'Advanced Routing', 'VLAN Configuration', 'Network Management'] | This course offers an in-depth exploration of advanced networking technologies and infrastructure management, designed for IT professionals aiming to master complex network environments. Beginning with foundational infrastructure concepts, the course covers IEEE 802.1Q trunking, VLAN management, and the principles of spanning tree protocols. You'll delve into advanced Layer 2 technologies such as EtherChannel and Multiple Spanning Tree, learning how to configure and troubleshoot these critical components to optimize network performance and resilience. As the course progresses, you will tackle sophisticated routing protocols like OSPF and BGP. Each module is structured to provide a thorough understanding of theory, followed by practical configuration and troubleshooting exercises. You'll explore OSPF neighbor formation, route summarization, and the nuances of BGP path selection and IPv6 routing. These hands-on labs and real-world scenarios are designed to enhance your ability to implement, manage, and optimize complex routing solutions in any enterprise network.
The final sections focus on network services and management, covering essential tools such as SNMP, Syslog, and NetFlow. You’ll gain expertise in configuring IP SLA, Policy-Based Routing, and Embedded Event Manager (EEM) for automated network responses. This comprehensive training ensures you are well-equipped to manage, monitor, and secure large-scale network infrastructures, making you a valuable asset in any IT environment.
This course is intended for network engineers, IT professionals, and systems administrators who have a foundational knowledge of networking concepts and are looking to advance their skills in routing, infrastructure, and network management. Prior experience with basic network configuration and troubleshooting is recommended. In this module, we will provide an overview of critical infrastructure technologies that form the backbone of efficient network operations. You’ll gain insights into how these technologies support robust and scalable network environments. 1 video2 readings In this module, we will delve into Layer 2 technologies essential for managing VLANs, trunking, and spanning tree protocols. You'll learn about configuration and troubleshooting techniques that enhance network efficiency and security. 13 videos In this module, we will explore the Open Shortest Path First (OSPF) routing protocol, including its configuration and optimization for complex network environments. You’ll gain hands-on experience through labs focusing on multi-area setups and route management. 13 videos1 assignment In this module, we will cover the core aspects of the Border Gateway Protocol (BGP), including its configuration for IPv4 and IPv6. You’ll learn to manage inter-domain routing effectively through practical lab exercises and in-depth configuration tutorials. 8 videos In this module, we will explore key wireless technologies, focusing on access point operations, antenna selection, and troubleshooting strategies. You’ll learn how to deploy and manage wireless networks effectively to meet organizational needs. 6 videos In this module, we will cover various network services essential for maintaining connectivity, synchronization, and redundancy. You’ll learn configuration and security best practices for protocols like NAT, NTP, and VRRP. 12 videos1 assignment In this module, we will provide an introduction to network management concepts, focusing on the tools and techniques used to ensure optimal network performance. You’ll learn about the role of network management in maintaining operational efficiency. 1 video In this module, we will explore essential command-line tools for network troubleshooting and management. You’ll gain practical skills in using commands like debug, traceroute, and ping to identify and resolve network issues. 3 videos In this module, we will cover the Simple Network Management Protocol (SNMP) and its use in network monitoring. You’ll learn how to configure SNMP for secure and effective device management and performance monitoring. 3 videos1 assignment In this module, we will discuss the Syslog protocol and its application in network logging and monitoring. You’ll learn to set up Syslog for efficient log management and use it to diagnose network events. 2 videos In this module, we will explore NetFlow technology for monitoring network traffic. You’ll learn to configure NetFlow and Flexible NetFlow to collect traffic data and use it for network performance analysis and optimization. 4 videos In this module, we will cover SPAN technologies used to monitor network traffic. You’ll learn how to configure SPAN, RSPAN, and ERSPAN to capture and analyze traffic in various network scenarios. 5 videos1 assignment In this module, we will discuss IP SLA and its application in network performance monitoring. You’ll learn to configure IP SLA for tracking network health and ensuring service quality. 3 videos In this module, we will explore Policy-Based Routing (PBR) and its application in directing network traffic. You’ll learn to configure PBR to meet specific organizational policies and traffic management needs. 2 videos In this module, we will introduce the Embedded Event Manager (EEM) and its use in automating network tasks. You’ll learn to configure EEM to respond to network events, enabling efficient and automated network management. 2 videos1 reading2 assignments | 15 modules | Intermediate level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/packt-advanced-routing-infrastructure-and-network-management-xgtip | null |
6,502 | Learn English: Beginning Grammar Specialization | 74,477 | 4.9 | 3,155 | Rachel Fernandez | University of California, Irvine | [] | This specialization is for those who want to study English grammar at the beginning level. Through the three courses in this specialization, you will learn the fundamental features of English grammar such as word forms, verb tenses, and question and answer formation so that you can start your English learning journey on the right path. Applied Learning Project In each course, learners will use the grammar patterns they learn after every lesson to complete practice exercises and quizzes. Learners will complete activities to practice using English not only at the sentence level but also at the discourse level. In this course, “Word Forms and Simple Present Tense,” you will learn about different word forms, like nouns, proper nouns, plural forms and singular forms. You will learn when to use the articles “a” and “an.” You will also learn about the BE verb in English, how to form it and when to use it. Then you will learn how to form other verbs in the simple present, including some spelling rules, and how to make negative forms. In this course, “Questions, Present Progressive and Future Tenses,” you will learn about question words in English and how to form questions in the simple present. Then you will learn how to form the present progressive to express ideas about things that are happening right now. You will look at the differences between the simple present and present progressive. Finally, you will learn how to use “to be going to” and the present progressive to talk about the future and how to use “can” to talk about ability. In this course, “Simple Past Tense,” you will learn how to form and use the simple past. You will see that there are a lot of irregular verbs in the simple past, but there are some patterns you can use to help you remember. You will learn about spelling changes when you add an “-ed” ending, as well as how to form negatives and questions in the past. You will also learn about object pronouns and some other forms of adjectives to describe and make comparisons. | 3 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/learn-english-beginning-grammar | null |
6,503 | Statistical Learning | Enrollment number not found | Rating not found | null | Shahrzad Jamshidi | Illinois Tech | ['Logistic Regression', 'Artificial Neural Network', 'Linear Regression', 'K-Means Clustering', 'Linear Discriminant Analysis (LDA)', 'K-Nearest Neighbors Algorithm (K-NN)', 'Bayesian Inference', 'Splines'] | This course offers a deep dive into the world of statistical analysis, equipping learners with cutting-edge techniques to understand and interpret data effectively. We explore a range of methodologies, from regression and classification to advanced approaches like kernel methods and support vector machines, all designed to enhance your data analysis skills. Our journey is guided by the well-known textbook "The Elements of Statistical Learning" by T. Hastie, R. Tibshirani, and J. Friedman. This course provides examples written in Python. Your system should have Python 3.8 or higher, as well as essential libraries such as NumPy, pandas, matplotlib, seaborn, scikit-learn, SciPy, and PyTorch. These tools not only support the learning process but also prepare you for real-world data analysis challenges.
Whether you're aiming to refine your expertise or just starting out in the field of data science, this course provides the knowledge and tools to transform your understanding and application of statistical learning. It's a perfect blend of theory and practice, ideal for anyone looking to enhance their skills in data interpretation and analysis. Welcome to Statistical Learning! In this course, we will cover the topics: Statistical Learning: Terminology and Ideas, Linear Regression Methods, Linear Classification Methods, Basis Expansion Methods, Kernel Smoothing Methods, Model Assessment and Selection, Maximum Likelihood Inference, and Advanced Topics.
Module 1 offers an in-depth exploration of statistical learning, beginning with the rationale behind choosing a pre-defined family of functions and optimizing the expected prediction error (EPE). It covers the essentials of statistical learning, including the loss function, the bias-variance tradeoff in model selection, and the significance of model evaluation. This module also distinguishes between supervised and unsupervised learning, discusses various types of statistical learning models and data representation, and delves into the three core elements of a statistical learning problem, providing a comprehensive introduction to this field. 8 videos5 readings4 assignments1 discussion prompt1 ungraded lab Welcome to Module 2 of Math 569: Statistical Learning. Here, we explore what is arguably the foundational model of the field: linear regression. This simple yet highly useful model helps us better understand the statistical learning problem discussed in Module 1. In Lesson 1, we'll carefully review what linear regression aims to do, how we construct the model's parameters with a given dataset, and what kinds of statistical tests we can perform on our estimated coefficients. In Lesson 2, we’ll cover a method known as Subset Selection, which aims to improve linear regression by eliminating unimpactful independent variables. In Lesson 3, we explore introducing bias into the linear regression model with two regularization methods: Ridge Regression and LASSO. These methods utilize a hyperparameter, a key concept in this course, to limit the growth of the coefficients. This is the source of the bias and will help us understand why a biased estimator can outperform our unbiased estimator for the coefficients of linear regression in Lesson 1. Finally, Lesson 4 introduces the concept of data transformations, which allow one to address complexities within a dataset. It also provides a simple way of converting a linear model to a nonlinear model. 10 videos6 readings5 assignments6 ungraded labs Welcome to Module 3 of Math 569: Statistical Learning, where we delve into linear classification. In Lesson 1, we explore how linear regression, typically used for predicting continuous outcomes, can be adapted for classification tasks-predicting discrete categories. We'll cover the conversion of categorical data into a numerical format suitable for classification and introduce essential classification metrics such as accuracy, precision, and recall. In Lesson 2, we'll explore Linear Discriminant Analysis (LDA) as an alternative method for constructing linear classifications. This method introduces the notion that classification maximizes the probability of a category given a data point, a framing we will revisit later in the course. Maximizing the likelihood of classification, given some simplifying assumptions, leads to a linear model that can also reduce the dimensionality of the problem. Finally, in Lesson 3, we will cover logistic regression, which is constructed by assuming the log-likelihood odds are linear models. The outcome, similar to LDA, produces a linear decision boundary. 5 videos6 readings4 assignments6 ungraded labs Welcome to Module 4 of Math 569: Statistical Learning, focusing on advanced methods in statistical modeling. This module starts with an introduction to Basis Expansion Methods, exploring how these techniques enhance linear models by incorporating non-linear relationships. We then delve into Piecewise Polynomials, discussing their utility in capturing varying trends across different segments of data. In Lesson 2, we explore Smoothing Splines, emphasizing their role in effectively balancing model fit and complexity. Lastly, Lesson 3 covers Regularization and Kernel Functions, elaborating on how these concepts contribute to constructing more complex models without significantly increasing computational complexity. 5 videos5 readings4 assignments6 ungraded labs Welcome to Module 5 of Math 569: Statistical Learning, dedicated to advanced techniques in non-linear data modeling. In Lesson 1, we delve into Kernel Smoothers, exploring how they make predictions based on local data and their comparison to k-Nearest Neighbors (kNN) models. Lesson 2 focuses on Local Regression, particularly Local Linear Regression (LLR) and Local Polynomial Regression (LPR). We'll examine how LLR overcomes some kernel smoothing limitations and how LPR provides flexibility in capturing local data structure. The module emphasizes the adaptiveness of these techniques for complex data relationships and addresses the challenges in selecting hyperparameters and computational demands, especially for large datasets. 3 videos4 readings3 assignments4 ungraded labs Module 6 of Math 569: Statistical Learning delves into model evaluation and model selection via hyperparameter choice. It begins with an understanding of Bias-Variance Decomposition, highlighting the trade-off between model simplicity and accuracy. The module then explores model complexity, offering strategies for balancing this complexity with predictive performance. Building on the importance of balancing model complexity with performance, we move on to cover model selection metrics, namely: AIC, BIC, and MDL. These are information-theoretic metrics that balance error with model complexity, such as the number of parameters. Finally, the module concludes with lessons on estimating test error without a testing set, using concepts like VC Dimension, Cross-Validation, and Bootstrapping. This module is pivotal for mastering model evaluation and selection in statistical learning. 8 videos7 readings7 assignments9 ungraded labs Module 7 of Math 569: Statistical Learning introduces advanced inferential techniques. Lesson 1 focuses on Maximum Likelihood Inference, explaining how to find optimal model parameters by maximizing the likelihood function. This method is pivotal in estimating parameters for which a dataset is most likely. Lesson 2 dives into Bayesian Inference, contrasting it with frequentist approaches. It covers Bayes' Theorem, which integrates prior beliefs with new evidence to update beliefs dynamically. The module thoroughly discusses the process of Bayesian modeling, including the construction and updating of models using prior and posterior distributions. This module is crucial for understanding complex inference methods in statistical learning. 4 videos4 readings4 assignments2 ungraded labs Module 8 of Math 569: Statistical Learning covers diverse advanced machine learning techniques. It begins with Decision Trees, focusing on their structure and application in both classification and regression tasks. Next, it explores Support Vector Machines (SVM), detailing their function in creating optimal decision boundaries. The module then examines k-Means Clustering, an unsupervised learning method for data grouping. Finally, it concludes with Neural Networks, discussing their architecture and role in complex pattern recognition. Each lesson offers a deep dive into these techniques, showcasing their unique advantages and applications in statistical learning. 6 videos5 readings5 assignments8 ungraded labs This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course. Be sure to review the course material thoroughly before taking the assessment. 1 assignment | 9 modules | Intermediate level | 115 hours to complete (3 weeks at 38 hours a week) | https://www.coursera.org/learn/illinois-tech-statistical-learning | null |
6,504 | Business English: Making Presentations | 80,213 | 4.8 | 739 | Richard Moore | University of Washington | [] | This course teaches you language and techniques that will help you make effective presentations in English. The final task is to develop a well-organized, persuasive presentation using charts and graphs that sells your city as a venue. The course focuses on students who have an intermediate level of English, with a minimum of two years of formal language study.
Course Learning Objectives
• Present information in an organized and engaging way
• Share data in charts and graphs
• Use persuasive language in a presentation Week 1 is an overview of giving effective presentations. You will see examples of good and bad presentations and what mistakes to avoid. 12 videos5 readings5 assignments1 peer review1 discussion prompt Week 2 is all about the visuals in presentations – any slides or graphics that you will use to support your presentation. This includes more work on describing charts and graphs clearly. 8 videos4 readings5 assignments1 peer review1 discussion prompt Week 3 week focuses on using persuasive language in presentations, which should help you if you have to market anything from a product to a plan you’re presenting to your boss. 3 videos2 readings2 assignments1 peer review1 discussion prompt In Week 4, you will prepare and present a short presentation for your colleagues. 2 videos2 readings1 peer review | 4 modules | Intermediate level | null | https://www.coursera.org/learn/business-english-presentations | 97% |
6,505 | Introductory C Programming Specialization | 113,366 | 4.6 | 5,547 | Andrew D. Hilton | Duke University | ['Software Engineering', 'Computer Programming', 'Algorithms', 'Problem Solving', 'C Programming', 'Debugging', 'Software Development Process', 'Software Design'] | This specialization develops strong programming fundamentals for learners who want to solve complex problems by writing computer programs. Through four courses, you will learn to develop algorithms in a systematic way and read and write the C code to implement them. This will prepare you to pursue a career in software development or other computational fields. Successful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering. Applied Learning Project Projects include writing a sorting algorithm and writing a program to use Monte Carlo simulation to calculate poker hand probabilities. The poker project is divided over three courses, so you can write the more challenging parts of the program as you gain more advanced skills. Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class. This course will introduce you to a powerful problem-solving process—the Seven Steps—which you can use to solve any programming problem. In this course, you will learn how to develop an algorithm, then progress to reading code and understanding how programming concepts relate to algorithms. Building on the course Programming Fundamentals, this course will teach you how to write code by first planning what your program should do—an important approach for novice and professional programmers. You will learn how to compile and run your program, and then how to test and debug it. This course builds on the Seven Steps you have already learned and provides a framework for systematically testing for problems and fixing them, so you can find and fix problems efficiently. The third course in the specialization Introduction to Programming in C introduces the programming constructs pointers, arrays, and recursion. Pointers provide control and flexibility when programming in C by giving you a way to refer to the location of other data. Arrays provide a way to bundle data by guaranteeing sequences of data are grouped together. Finally, recursive functions—functions that call themselves—provide an alternative to iteration that are very useful for implementing certain algorithms. The final course in the specialization Introduction to Programming in C will teach you powerful new programming techniques for interacting with the user and the system and dynamically allocating memory. You will learn more sophisticated uses for pointers, such as strings and multidimensional arrays, as well as how to write programs that read and write files and take input from the user. Learning about dynamic memory allocation will allow your programs to perform complex tasks that will be applied in the final part of the specialization project: a Monte Carlo simulation for calculating poker hand probabilities. | 4 course series | Beginner level | 5 months (at 10 hours a week) | https://www.coursera.org/specializations/c-programming | null |
6,506 | Anti-Racism Specialization | 1,890 | 4.7 | 64 | Jennifer | University of Colorado Boulder | ['History of Race and Racism', 'anti-racism', 'Intersectionality', 'Community Outreach', 'Talkikng about Race and Racism'] | Anti-Racism is a three-course specialization intended for anyone who is interested in learning about race and racism, particularly in the context of the United States, wants to be an anti-racist advocate, or seeks to incorporate anti-racist practices into their daily lives. Anti-Racism I is an ideal starting place for learners unfamiliar with critical race theory and want a primer on race and racism in the United States. Anti-Racism II builds on the basics introduced in the first course and explores historical and linguistic constructions of race and racism in the United States and the theory of intersectionality. The second course also asks learners to apply its content to cultural contexts outside of the US, and it culminates in an interview project aimed at deepening conversational nuance when learners engage with the topics of race and racism with family, friends, colleagues, or peers. Anti-Racism III then puts the theory introduced in the first two courses into practice. Learners will create a plan for practicing anti-racism and develop a project for community outreach and engagement. Applied Learning Project Learn, speak, act! The assignments and projects in Anti-Racism guide you from learning the basics of talking about race and racism to guiding a more nuanced and historically-informed conversation about identity in your cultural context. The specialization culminates with an invitation to reflect on the ways in which you can be an anti-racist advocate and challenges you to design a community outreach project that's specific to your circumstances and skills. how to talk about race and racism how to distinguish the difference between talking about race/racism and participating in racist acts how to use contemporary intersectional terminology through a provided glossary how to define systemic and institutional racism As a result of taking this course, you will be able to describe the historical and linguistic foundations of race and racism in the United States. You will be able to apply the theory of Intersectionality to your personal experience. You will be able to evaluate the role of race and racism in your personal life, family, and community. By successfully completing this course, you will be able to identify and address the barriers that stand in the way of anti-racism work. You will be able to intervene as a bystander in racist or discriminatory interactions. You will be able to create an action plan to incorporate anti-racism in your life as an everyday practice. | 3 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/anti-racism | null |
6,507 | Intro to Operating Systems 1: Virtualization | 22,848 | 4.6 | 133 | Patrick Ester | Codio | ['C Programming', 'Operating Systems', 'Scheduling Algorithms'] | Learn the inner workings of operating systems without installing anything! This course is designed for learners who are looking to maximize performance by understanding how operating systems work at a fundamental level. The modules in this course cover the basics of the C language, processes, scheduling, and memory.
To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course. 3 readings2 app items 5 readings4 app items 5 readings4 app items 5 readings4 app items | 4 modules | Intermediate level | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/codio-intro-to-operating-systems-1-virtualization | null |
6,508 | Foundations of International Psychiatry | 16,092 | 4.7 | 177 | Greg Shields | The University of Melbourne | [] | What are some of the skills required when interviewing patients? What information is required when taking a patient history or completing a mental state examination? These are just some of the questions you'll seek answers to as you work through the course material.
Mental health is an important public issue across the world, and the role of the psychiatrist is crucial in helping to address these.
This course aims to give you a more nuanced understanding of the role of a psychiatrist, developing clinical skills and therapeutic relationships. Understanding the impact of mental illness in society and ethics in medicine are some of the key themes central to this course.
This course is designed to provide essential background knowledge and practical skills that apply to any
mental health clinical setting. Welcome to The University of Melbourne Massive Open Online Course in International Psychiatry. This course has been designed to provide essential background knowledge and practical skills for health professionals working with mentally unwell patients. In this first week of the course, you will learn about the importance of good communication skills.
Working effectively and collaboratively with patients is the goal of every mental health professional. This can often be challenging for practitioners, especially when patients are very unwell or reluctant to seek help. Good communication skills are essential to engage patients and families, and to build therapeutic relationships with our clients. In this module we will look at skills and concepts that come in useful when interviewing patients. 2 videos5 readings1 assignment2 discussion prompts Welcome to the Clinical Skills module. The focus of this week's learning will on skills and concepts that come in useful when documenting a psychiatric patient history. 2 videos1 assignment1 peer review1 discussion prompt The Mental State Examination (MSE) is a core skill in psychiatry, and an integral part of the patient interview. This week we will look at each component of the MSE, and how to classify, interpret, and document the patient’s presentation 4 videos6 readings3 discussion prompts2 plugins Now that you are familiar with the Mental State Examination, you will be required to write and submit your second peer reviewed assignment for this course - documenting a mental state examination.
Later this week, we'll take a closer look at 'the biopsychosocial model' - a framework for integrating different aspects of the patient’s life into a wholistic understanding of their mental illness. In this module, you will learn about the model, and apply it to a clinical scenario. 2 videos1 assignment1 peer review1 plugin Health professionals occupy an important role in society, and there are expectations about how they conduct themselves in this role. Sufferers of mental illness can be particularly vulnerable, and it’s important that the law and professional ethics are followed to protect them. Furthermore, societal and cultural factors have a significant influence on the manifestation and management of mental illnesses. In this module we will explore these important topics. 5 videos6 readings1 assignment | 5 modules | Advanced level | null | https://www.coursera.org/learn/international-psychiatry | 98% |
6,509 | Art & Inquiry: Museum Teaching Strategies For Your Classroom | 37,343 | 4.8 | 480 | Larissa Raphael | The Museum of Modern Art | [] | Explore how to integrate works of art into your classroom with inquiry-based teaching methods used by museum educators. Welcome to Art and Inquiry: Museum Teaching Strategies For Your Classroom. This course will introduce ways to integrate works of art into your classroom by using inquiry-based teaching methods commonly used in museum settings. This course is designed to give you the tools to create meaningful object-based learning activities that can be integrated into a wide variety of curricula. The strategies this course covers emphasize literacy and critical thinking skills across disciplines. 2 videos8 readings1 assignment In this module you will explore different ways to facilitate close looking with your students by engaging in open-ended, inquiry-based conversation around works of art. 3 videos8 readings1 assignment In this module, we will explore how art and Social Emotional Learning can deepen students’ attention, self-awareness, as well as their awareness of others. 9 videos11 readings1 assignment This module focuses on activities as a mode of inquiry. In this module you’ll explore how to use three kinds of activities in your classroom to effectively promote an exchange of ideas with students. 3 videos7 readings1 assignment In this module you will consider ways to incorporate inquiry about a work of art into your classroom and make connections to different subject areas including Social Studies, English Language Arts, and Science. 3 videos11 readings1 assignment | 5 modules | Intermediate level | null | https://www.coursera.org/learn/artinquiry | 98% |
6,510 | Tableau for Data Visualization and Analysis | Enrollment number not found | Rating not found | null | LearnKartS | LearnKartS | ['Data Handling', 'Data Blending', 'Expert data calculations', 'Setting up dashboards', 'Integration of R'] | Welcome to the Tableau course, where you will learn to create powerful data visualizations and analyses! The course includes videos, quizzes, and hands-on demos to take you from the fundamentals to advanced data visualization techniques.
The Tableau full course offers 11 hands-on demos that provide a step-by-step guide to Tableau's functions and features. These demos are designed to help you build a solid foundation in data visualization.
No prior experience is necessary for the Tableau tutorial. However, a basic understanding of the data knowledge and its concepts is highly helpful.
By the end of the course, you will be able to:
- Gain a clear understanding of Tableau's key features and functions.
- Develop expertise in managing and working with a variety of datasets efficiently.
- Master data visualization using advanced mapping techniques.
- Learn how to use different fields and chart types for comprehensive data analysis.
- Streamline and organize datasets effectively, establish data connections, and create insightful
dashboards.
Tableau skills are in high demand across industries like business, finance, and healthcare, so completing this Tableau eLearning course will help you advance your career. This module covers the essential Tableau concepts and its advanced techniques. By the end of this module, the learner will have a solid understanding of Tableau fundamentals and advanced features like filters, calculations, and expressions, preparing them to create insightful visualizations and analyses. 14 videos1 reading4 assignments1 discussion prompt This module covers the advanced Tableau techniques for parameter usage, charting, visualization, geographic visualization, and forecasting. By the end of this module, learners will gain proficiency in utilizing Tableau parameters, enhancing their analytical capabilities in Tableau. 15 videos5 assignments1 discussion prompt This module covers advanced topics in Tableau dashboard design, interactivity, integration, and problem-solving. By the end of this module, learners will have acquired proficiency in designing interactive Tableau dashboards, and effectively solving complex Tableau-related problems. 13 videos1 reading4 assignments1 discussion prompt | 3 modules | Beginner level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/tableau-certification-course | null |
6,511 | Introduction to Mobile App Development | 2,966 | 4.8 | 32 | IBM Skills Network Team | IBM | ['Mobile applications', 'Mobile app development tools', 'iOS', 'Android', 'Mobile app development frameworks'] | With smartphone usage projected to grow by 30%, there's never been a better time to launch a career in mobile app development. This course provides aspiring software engineers with the ideal introduction to this high growth field with no prior experience required. Mobile app developers design, code, and refine apps, combining technical skill with creativity to deliver engaging mobile experiences.
In this course, you’ll explore what apps are, how they’ve evolved, and how the different parts of a mobile app work together, including the front end, back end, data management, and hosting. You will become familiar with various mobile platforms and operating systems such as iOS, Android, WatchOS, WearOS, and others.
You’ll gain valuable knowledge of the overall mobile app development ecosystem and gain learn about mobile app types and their operating systems. You’ll delve into the languages and frameworks used to develop mobile apps such as Swift, Kotlin, Flutter, and React Native. Plus, you’ll explore different integrated development environments (IDEs) such as Android Studio and Xcode, as well as the tools used for mobile app development, including testing tools and emulators.
Then, hear from seasoned experts what it's really like to work as part of a mobile app development team and the skills you'll need to excel as a mobile developer. Learn about employment opportunities, career paths and progression, and the future of mobile app development and use these insights to help you create your own mobile app developer career plan.
If you’re an aspiring techie keen to move into the lucrative world of mobile app development, enroll to and begin your journey toward a rewarding career! In this module, you will be introduced to the definition of an app, the evolution of mobile apps, app categories, and the pros and cons of using mobile apps. You will also learn about how apps work and understand the different parts of an app, including the front end, the back end, data management, and hosting. 8 videos2 readings3 assignments1 discussion prompt5 plugins In this module, you will get familiar with the mobile app development ecosystem. The module will cover the mobile app types that a mobile developer can develop, along with the different operating systems. You will also delve into the languages and frameworks used to develop the different types of mobile apps. Following a brief review of four approaches to integrated development environments (IDEs) and tools used for mobile app development, you will learn about testing tools and emulators. Finally, you will understand how the software development kit supports integration and data implementation. 10 videos1 reading3 assignments5 plugins In this module, you will explore the role of a mobile developer and describe the composition of a typical mobile app development team. You will discover the required and optional skills to be job-ready. This module will also cover the available career paths and employment options for a mobile app developer. Finally, you will have the opportunity to develop your mobile application developer career plan. 10 videos3 readings2 assignments1 app item4 plugins | 3 modules | Beginner level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/introduction-to-mobile-app-development | null |
6,512 | Managing the Company of the Future | 126,793 | 4.8 | 3,559 | Julian Birkinshaw | University of London | ['Management Theory', 'Strategic Management', 'Leadership', 'Management'] | The aim of the course is to provide you with a comprehensive framework for understanding both the traditional principles of management inside companies today as well as the alternative principles that are becoming increasingly important. It provides both theoretical and practical perspectives on the nature of management in today’s organisations. Hello and welcome to 'Managing the Company of the Future'. To help you understand how the course will be structured, we would suggest that you go to the 'Start Here' tab first. After that, feel free to explore the rest of the course including the lectures, readings and quizzes.We would also encourage you all to interact with each other on the Discussion Forums. This is a great way of hearing from others and discussing particular topics so please go and introduce yourself in the Introduce Yourself thread. So let’s get started! Best wishes,Julian Birkinshaw & the MCOF Teaching Team 3 readings Hello and welcome to the first week of 'Managing the Company of the Future'. In Week 1, we will be talking about the difference between leadership and management, and the reasons why we need to reinvent management as it is today. 11 videos3 readings1 assignment Welcome to Week 2 of 'Managing the Company of the Future'. This week, we'll be learning about traditional and alternative approaches to coordination and decision making, and how you can experiment with some of the new alternative ideas in your own company. 12 videos2 readings1 assignment Welcome to Week 3 of 'Managing the Company of the Future'. We're almost at the halfway point of the course in terms of content now. This week, we'll learn about traditional and alternative forms of motivation and objective-setting and we'll find out how you can experiment with some of these new ideas in your own company. 13 videos2 readings1 assignment Welcome to Week 4 of 'Managing the Company of the Future'. In our penultimate week of content, we'll be getting a bit more hands-on. You'll be analysing your company's management model and thinking about how to change it. We'll also be learning about different ways of enabling change and, more generally, how management ideas gain and lose currency. 11 videos3 readings1 assignment Welcome to Week 5 of 'Managing the Company of the Future'. So you've made it to the last week - congratulations! This week we'll look at the manager as an individual and help you look at your own practice with tips and tricks for becoming a better boss. 11 videos2 readings1 assignment1 peer review | 6 modules | null | 12 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/company-future-management | 98% |
6,513 | Diplomatic Practice | Enrollment number not found | Rating not found | null | Mohan Kumar | O.P. Jindal Global University | ['Analytical Thinking', 'Critical Evaluation', 'Research Proficiency', 'Effective Communication', 'Cultural Adaptability'] | The Diplomatic Practice course provides a comprehensive understanding of the evolving landscape of international relations. You'll explore negotiation techniques, the role of embassies and diplomats in safeguarding national interests, and the impact of globalization and technology on modern diplomacy. Discover the nuances of political, economic, and cultural diplomacy, along with emerging trends like diaspora and para diplomacy. Analyze the rise of hybrid diplomacy in a post-pandemic world. Upon successful completion of this MOOC course, students who enrol in the MA-IRSS Programme will only be required to complete the Staff Graded Assignment to receive full credit for the course. This streamlined process acknowledges the foundational knowledge acquired through the MOOC and facilitates a seamless transition into the MA-IRSS curriculum. This module introduces the realm of Diplomatic Practice, exploring how states interact on the world stage. You'll delve into the concept of international relations, the legal definition of a state, and the significance of national interest in shaping foreign policy. Using the United States and India as examples, you'll examine how nations utilize negotiations to achieve their objectives. Finally, the module analyzes the challenges of modern diplomacy in a shifting global landscape. 13 videos7 readings1 assignment1 discussion prompt This module explains how embassies (or high commissions) work as the primary hubs of diplomacy. You'll learn about their structure and operations, as well as the role of consulates in serving citizens abroad and increasingly in economic and cultural diplomacy. The module also covers Cultural and Trade Centers' contributions to diplomacy. Finally, you'll learn about alternative representation when two countries lack formal diplomatic relations, such as interest sections within a third country's embassy or the appointment of Honorary Consuls. 14 videos2 readings1 assignment1 discussion prompt This module provides an overview of professional diplomatic services, focusing on the role of ambassadors and the process of becoming a diplomat, including recruitment, training, and diplomatic privileges outlined in the Vienna Conventions. It also examines the privileges of consulates and future trends in diplomacy. 12 videos3 readings1 assignment1 discussion prompt This module explores different levels of diplomacy: bilateral, plurilateral, and multilateral. It explains Track 1 (government-to-government), Track 2 (think tanks and institutions influencing governments), and Track 1.5 (a mix of both). You'll learn how non-governmental actors like think tanks, universities, and NGOs are playing a growing role in diplomacy. Finally, the module examines the role of Chambers of Commerce in economic diplomacy and the influence of multinational corporations and lobbies on state diplomacy. 12 videos4 readings1 assignment1 discussion prompt This module explores the interplay between political and economic diplomacy. You'll examine traditional political diplomacy tools like dialogue mechanisms, the role of foreign ministries and embassies, and the significance of summit diplomacy and state visits. The module also delves into economic diplomacy, covering free trade agreements, the World Trade Organization, and the geopolitical implications of initiatives like the Belt and Road Initiative and 5G technology. 12 videos2 readings1 assignment1 discussion prompt This module explores the significance of a state's culture in international relations, highlighting cultural diplomacy and the role of institutions like India's ICCR. It delves into Joseph Nye's concept of "Soft Power" and its impact on public diplomacy, while acknowledging the challenges in measuring this power across diverse nations. The module also examines the growing influence of diasporas and their impact on state interests. Finally, it discusses the increasing role of subnational actors, such as provinces or states, in shaping diplomatic relations within federal systems. 12 videos2 readings1 assignment1 discussion prompt This module explores the evolution of diplomacy, from traditional practices to the challenges of modern digital diplomacy in the age of instant communication and social media. It examines issues of sovereignty, secrecy, and trust raised by digital diplomacy, and the impact of COVID-19, highlighting both the limitations and necessities of virtual diplomacy. Finally, it emphasizes the need for today's diplomats to possess both expertise and adaptability, combining speed and substance in communication, while maintaining credibility in the media landscape. 12 videos4 readings1 assignment1 discussion prompt | 7 modules | Intermediate level | 22 hours to complete (3 weeks at 7 hours a week) | https://www.coursera.org/learn/opj-diplomatic-practice | null |
6,514 | Advanced Speaking and Listening Project | 9,481 | 4.7 | 44 | Tamy Chapman | University of California, Irvine | [] | Learners will present a well-organized academic speech on a topic in an academic field of the learner's choice. The learner will need to recall all of the skills learned in the previous three courses and complete several steps to complete the project. The learner will choose an academic topic and will then need to do some research, interview a couple of experts in the field, create visual elements, and record a video of the presentation. The presenter will use techniques for preparing and practicing a presentation and demonstrate effective verbal and non-verbal skills. Doing this will help prepare you for presentations in school or work. In this capstone, learners will create and present an effective, well-organized speech in a comprehensible manner on a topic in an academic field of the learner's choice. The speech will be presented via asynchronous video. You must be able to record yourself and share your video. 5 readings2 peer reviews This week, you will do some interviews to help inform you about the topic you are presenting on. You will write some questions and talk to several people in the related field of study. You'll then compile the data from the interviews and use it effectively in your presentation. 3 readings After you interview several people, look at your notes and find some details to include in your presentation. These outside perspectives will give weight to your assumptions and show that you are knowledgeable about the topic. Write an outline of your presentation and find some pictures to accompany your words. 4 readings2 peer reviews Last week, you should have gathered some images you want to use in your presentation. This week, you'll put those together into an attractive presentation format. PowerPoint is very common, but you can be creative and come up with something else that you think looks good. 2 readings1 peer review This week, you should finish preparing and start practicing your presentation. Practice first without the camera. Get used to the words you want to say. Practice your timing with the visuals you'll be using. Then also practice doing the presentation with the camera. Before you record the whole presentation, do a short part of it and check the quality. Fix any problems this week before you do the final recording. 3 readings1 discussion prompt This week, you'll finish recording and editing your presentation video and submit it for grading. After you've practiced several times and checked the quality of the recordings, record the final video. Make sure you listen to the whole video before you submit so you can catch and correct any mistakes before it's too late. 3 readings2 peer reviews | 6 modules | Intermediate level | 20 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/speaking-listening-capstone | null |
6,515 | Electrical Characterization: Diodes | Enrollment number not found | Rating not found | null | Trevor Thornton | Arizona State University | ['Semiconductor Device', 'Complementary Metal Oxide Semiconductor (CMOS)', 'Semiconductors', 'Semiconductor Characterization Techniques', 'Semiconductor Materials', 'Semiconductor Device Physics'] | Course 2 begins with the definitions of resistivity and sheet resistance of semiconductors and metals and emphasizes the importance of working with the correct units for each. We see how to calculate the sheet resistance of a thin conducting film once we know its resistivity. A method to determine the contact resistance using the transfer length method is described, along with the definition of the specific contact resistivity. Current-voltage (IV) measurements of p-n junction diodes are used to extract key device parameters such as the ideality factor and series resistance. The course project explores how process monitor blocks are used to maintain manufacturing integrity. Course 2 begins with the definitions of resistivity and sheet resistance of semiconductors and metals and emphasizes the importance of working with the correct units for each. We see how to calculate the sheet resistance of a thin conducting film once we know its resistivity. A method to determine the contact resistance using the transfer length method is described, along with the definition of the specific contact resistivity. Current-voltage (IV) measurements of p-n junction diodes are used to extract key device parameters such as the ideality factor and series resistance. The course project explores how process monitor blocks are used to maintain manufacturing integrity. 1 video2 readings This week introduces the concepts of resistivity and sheet resistance. 3 videos1 assignment This week, you will learn about measuring resistance with four-point probes. 2 videos1 reading1 assignment This week, you will learn about measuring contact resistance using transfer length measurements. 2 videos1 reading1 assignment This week, you will learn about the current-voltage (IV) characteristics of diodes. 1 video1 reading1 assignment This week, you will complete a case study to assess your ability to determine what happened to a process monitor block to change its resistance. 1 video2 assignments | 6 modules | Intermediate level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/electrical-characterization-diodes | null |
6,516 | ChatGPT: Master Free AI Tools to Supercharge Productivity Specialization | 4,441 | 4.9 | 251 | Dr. Jules White | Vanderbilt University | ['Marketing', 'Data Analytics', 'Prompt Engineering', 'Communication', 'ChatGPT', 'Prompt engineering', 'Generative AI', 'Planning', 'Data analytics', 'Marketing', 'Data Analytics', 'Prompt Engineering', 'Communication', 'ChatGPT', 'Prompt engineering', 'Generative AI', 'Planning', 'Data analytics'] | Unlock the power of ChatGPT's free AI tools to excel with powerful and intuitive techniques that can be applied across any professional domain, from digital marketing and data analytics to project management and machine learning. This course is designed to enhance your productivity and skillset by exploring diverse applications of generative AI, empowering you to achieve more in both work and life. You'll discover customizable patterns that allow you to leverage AI in nearly any domain, including finance, social media, cybersecurity, business communication, leadership, business management, psychology, and beyond, expanding your capabilities across multiple fields. Start mastering these essential AI tools today and transform your approach to every professional challenge. Applied Learning Project In this course, learners will engage in hands-on projects where they’ll leverage ChatGPT to generate multiple solutions for real-world problems, enhance communication by understanding customer perspectives, create comprehensive plans for various scenarios like trips or marketing campaigns, and analyze complex data and documents to uncover key insights and gaps. These projects will enable learners to apply AI-driven techniques to solve authentic challenges across diverse professional domains. How to apply prompt engineering to effectively work with large language models, like ChatGPT How to use prompt patterns to tap into powerful capabilities within large language models How to create complex prompt-based applications for your life, business, or education Unlock the full potential of generative AI and become a master of prompt engineering. Dive deeper into how you can use In-context Learning to build better and more reliable prompts. See how Retrieval Augmented Generation (RAG) works and what can go wrong that you can counteract with fact-checkable prompt formats. Overcome your struggles in getting the right output from generative AI models with template-based output formats to achieve precision in your interactions with AI models. Tap into powerful AI capabilities for tasks ranging from social media comment analysis to survey results interpretation and beyond. This course will empower you with the skills needed to build exceptional prompts, using simple techniques, such as preference-driven refinement, and become and expert in leveraging generative AI for productivity and creativity. What You Will Learn:
In-Context Learning: Understand how to provide context within prompts to guide AI models towards more accurate and relevant outputs. Learn techniques to embed contextual information that enhances the model’s understanding and performance.
Retrieval Augmented Generation (RAG): Explore how to integrate retrieval systems with generative models to provide more precise and informed responses. This module covers the mechanisms to combine the strengths of both retrieval and generation.
Template Pattern and Examples: Master the art of crafting template-based prompts to achieve consistent and desired outputs. Learn how to tell generative AI to fit its output into your format and overcome struggles with getting exactly what you want.
Tapping Into AI Capabilities for Everyday Use: Delve into practical applications such as analyzing social media comments, interpreting survey results, and other everyday tasks where generative AI can make a significant impact. Gain hands-on experience with real-world examples.
Building Great Prompts: Discover simple methods for constructing effective prompts. Learn how preference-driven refinement can elevate your prompt engineering skills, ensuring that outputs meet your exact needs and preferences. In the era of Generative AI, the demand for personalized and specialized Generative AI assistants is skyrocketing. Large language models like GPTs have demonstrated their remarkable capabilities, but what if you could harness their power to create custom AI assistants tailored to your specific needs? Welcome to the world of custom GPTs, where you can build intelligent systems that understand your domain, speak your language, and solve your unique challenges. This cutting-edge course will guide you through the exciting journey of creating and deploying custom GPTs that cater to diverse industries and applications. Imagine having a virtual assistant that can tackle complex legal document analysis, streamline supply chain logistics, or even assist in scientific research and hypothesis generation. The possibilities are endless!
Throughout the course, you'll delve into the intricacies of building GPTs that can use your documents to answer questions, patterns to create amazing human and AI interaction, and methods for customizing the tone of your GPTs. You'll learn how to design and implement rigorous testing scenarios to ensure your AI assistant's accuracy, reliability, and human-like communication abilities.
Prepare to be amazed as you explore real-world examples and case studies, such as:
1. GPT for Personalized Learning and Education: Craft a virtual tutor that adapts its teaching approach based on each student's learning style, providing personalized lesson plans, interactive exercises, and real-time feedback, transforming the educational landscape.
2. Culinary GPT: Your Personal Recipe Vault and Meal Planning Maestro. Step into a world where your culinary creations come to life with the help of an AI assistant that knows your recipes like the back of its hand. The Culinary GPT is a custom-built language model designed to revolutionize your kitchen experience, serving as a personal recipe vault and meal planning and shopping maestro.
3. GPT for Travel and Business Expense Management: A GPT that can assist with all aspects of travel planning and business expense management. It could help users book flights, hotels, and transportation while adhering to company policies and budgets. Additionally, it could streamline expense reporting and reimbursement processes, ensuring compliance and accuracy.
4. GPT for Marketing and Advertising Campaign Management: Leverage the power of custom GPTs to analyze consumer data, market trends, and campaign performance, generating targeted marketing strategies, personalized messaging, and optimizing ad placement for maximum engagement and return on investment.
Whether you're a business leader, entrepreneur, developer, or educator, this course will equip you with the skills to harness the transformative potential of custom GPTs. Unlock new realms of productivity, innovation, and personalized experiences by building AI assistants that truly understand and cater to your unique needs.
Enroll now and join the forefront of AI revolution, where you'll learn to create intelligent systems that not only comprehend but also anticipate and exceed your expectations. | 3 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/chatgpt-free-ai-tools-to-excel | null |
6,517 | SQL for Data Science Capstone Project | 37,824 | 4.2 | 229 | Don Noxon | University of California, Davis | ['Data Analysis', 'creating metrics', 'Presentation Skills', 'SQL', 'Exploratory Data Analysis'] | Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. Whether you have successfully completed the other courses in the Learn SQL Basics for Data Science Specialization or are taking just this course, this project is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this specialization. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings. Along the way, you will receive feedback through the peer-review process. This community of fellow learners will provide additional input to help you refine your approach to data analysis with SQL and present your findings to clients and management. In this first milestone, you will select your client and import your dataset. You will begin to explore your data to understand it and make assumptions about your data. You will draft a project proposal to act as a guide as you explore your data and prove or disprove your hypotheses. 12 videos4 readings1 peer review2 discussion prompts In this milestone, you will start to execute your project proposal. You will start looking at your data and perform initial statistic models to explore your data and determine what you have available to you. 7 videos1 reading1 peer review1 discussion prompt In this milestone, you will go beyond the descriptive statistics you completed in the last milestone. This milestone is really about diving deeper to analyze your data, beyond descriptive stats. Maybe you need to analyze qualitative data or textual data to get a full picture. 5 videos1 peer review1 discussion prompt In this milestone, you will present your findings. You will identify your audience and create a presentation tailored to them. You will be able to tell the story of analyses and make recommendations. 12 videos7 readings1 peer review2 discussion prompts | 4 modules | Intermediate level | 35 hours to complete (3 weeks at 11 hours a week) | https://www.coursera.org/learn/sql-data-science-capstone | null |
6,518 | Financial Accounting: Foundations | 150,579 | 4.7 | 4,443 | Oktay Urcan | University of Illinois Urbana-Champaign | ['Financial Accounting', 'Accounting', 'Accrual', 'Financial Statement'] | In this course, you will learn the foundations of financial accounting information. You will start your journey with a general overview of what financial accounting information is and the main financial statements. You will then learn how to code financial transactions in financial accounting language. In the meantime, you will learn about the most important concept in contemporary financial accounting: accrual accounting. You will then critically analyze how firms recognize revenues. Finally, you will finish the course with an analysis of accounting for short-term assets, where you will go into detail on how firms account for accounts receivable and inventories. Upon successful completion of this course, you will be able to:
• Understand the main financial statements and the financial information
• Write a financial transaction in financial accounting language and understand how this impacts
the main financial statements
• Understand how accrual accounting and fundamental accounting concepts work
• Understand revenue recognition principles and how they impact the main financial statements
• Account for accounts receivable and inventories.
This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and go to onlinemba.illinois.edu. You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course. 2 videos5 readings1 assignment1 discussion prompt1 plugin Accounting is the language of business. Managers communicate the results of operations within a firm through accounting to various financial information users including investors and creditors. In this module, you will explore various users of accounting information and the main financial statements they use to acquire accounting information. You will develop an understanding of the particular type of information provided by each financial statement and how financial statements are related to each other. 10 videos4 readings5 quizzes The starting point of financial statements is individual financial transactions. In this module, you will learn how to code financial transactions in accounting language and how to build the main financial statements from these coded financial transactions. This bottom-up approach will help you appreciate the impact of various financial transactions on the main financial statements. 5 videos5 readings5 quizzes Fundamental accounting concepts and revenue recognition principles are at the heart of coding financial transactions in accounting language as well as the preparation of financial statements from these coded financial transactions. Real-life transactions are reflected in financial statements through the lens of these concepts and principles. A good understanding of these concepts and principles will help you understand the type and nature of information you can learn from financial statements. 6 videos4 readings4 quizzes1 assignment1 peer review One of the major components of a balance sheet is short-term assets, which are assets that can be converted into cash within a year. Accounts receivables and inventories constitute a major part of short-term assets. Understanding accounting for these accounts will help you uncover how these accounts change over time, their valuation, and their usefulness in managerial decision-making. 11 videos6 readings8 quizzes1 plugin | 5 modules | Beginner level | null | https://www.coursera.org/learn/financial-accounting-basics | 97% |
6,519 | Program Manager Capstone | Enrollment number not found | Rating not found | null | IBM Skills Network Team | IBM | ['Project Management Triangle', 'Program Delivery', 'Program Planning', 'Project Triangle', 'Program Portfolio', 'Program Closure'] | Practical experience speaks volumes in a job interview. This Program Manager Capstone course gives you valuable hands-on experience that confirms to employers that you’ve got what it takes! In this course, you’ll apply your program management skills acquired through previous courses in the IBM Program Manager PC. You will assume the roles of both a program manager and a program portfolio manager to create essential program management deliverables.
You’ll develop a program charter, stakeholder register, and program roadmap. You’ll create a work breakdown structure (WBS), resource management plan, communications management plan, risk register, and benefits register. You’ll also produce a program status report and program closure report, demonstrating your ability to manage complex program life cycles.
You’ll also complete practice and graded quizzes that simulate the Project Management Institute (PMI) Program Management Professional (PgMP) certification exam questions. Plus, you’ll receive guidance on building a personal portfolio and get resume tips and advice on launching your program management career.
If you’re looking to kickstart your career as a program manager, ENROLL TODAY and get ready to power up your resume with practical experience that stands out! In this module, you’ll learn about the program lifecycle, covering how to initiate, plan, execute, and close programs. You’ll examine a real-world scenario to understand managing multiple projects and how to organize program portfolios to align with strategic goals. The module also covers key elements of a program charter and the process of creating a stakeholder register for managing stakeholder relationships. Finally, you’ll apply your knowledge by developing a program portfolio, charter, and stakeholder register, reinforcing skills in aligning program activities with business objectives and stakeholder engagement. 3 videos2 readings2 assignments5 plugins In this module, you’ll focus on program scope, scheduling, and resource management. You’ll review a scenario update to understand program scope and scheduling challenges. Next, you’ll learn how to plan program scope and schedules, followed by a scenario update on cost analysis to enhance your ability to manage program budgets effectively. You’ll then explore resource and budget planning techniques and, finally, apply your skills by planning program scope, schedules, resources, and budgets. 2 videos1 reading3 assignments4 plugins In this module, you’ll learn about communication management, covering how to organize and streamline communication activities to ensure effective coordination within a program. You’ll examine a real-world scenario to understand how to manage program risks and develop mitigation strategies to address potential challenges. The module also covers benefits management and the process of creating a risk register for tracking and managing risks throughout the program's lifecycle. Finally, you’ll apply your knowledge by developing a comprehensive communication plan, risk management plan, a benefits management plan, and a benefits register. 3 videos1 reading3 assignments4 plugins In this module, you’ll focus on program reporting and stakeholder management. You’ll begin by reviewing the structure of program status and closure reports to understand how to capture key program details. Next, you’ll explore how to compare planned objectives with actual accomplishments, followed by techniques for tracking program health, risks, and stakeholder support. You’ll then learn about documenting lessons learned and managing open risks. Finally, you’ll apply your skills by creating reports that ensure transparency, stakeholder engagement, and program continuity. 2 videos1 reading3 assignments4 plugins In this module, you’ll start by completing a project to demonstrate proficiency in an integrated process improvement program (IPIP), with a reading to guide you through submission rubrics and grading criteria. building a personal portfolio that highlights your skills, achievements, and career history. In the bonus section, you can explore resume development techniques to align your resume with job descriptions and attract recruiters’ attention. Additionally, you can create both a portfolio and resume to enhance your credibility and job search. 2 videos3 readings1 peer review5 plugins | 5 modules | Advanced level | 12 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/program-manager-capstone | null |
6,520 | Introduction to Business Analytics | 31,651 | 4.6 | 294 | Tableau Learning Partner Instructor | Tableau Learning Partner | ['Data Analytics Lifecycle', 'Foundational Project Management', 'Data Literacy'] | The Introduction to Business Analytics teaches you the foundational skills in Tableau and business analytics. You will be introduced to essential concepts like analytics and insights and the foundational steps of the business analysis process. You’ll learn about the different types of analytics that businesses use, and you’ll be introduced to a data analytics lifecycle framework. You’ll also learn some of the foundational project management skills often used by analysts, and you’ll arrive at a greater understanding of data literacy. This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program.
By the end of the course, you will be able to:
-Demonstrate a foundational knowledge of the business analyst role.
-Describe the data analytics lifecycle framework.
-Explain the foundational project management topics and skills used by a BI analyst.
-Describe data literacy and its importance for a BI analyst. Welcome to Introduction to Business Analytics, the first course of the Tableau Business Intelligence Analyst Professional Certificate! By enrolling in this course, you are taking the first step in starting your career in business intelligence analytics. In the first week of the course, you'll learn more about business analytics and what a business intelligence analyst does. You'll also start learning about a related field — business analysis. Let's get started! 5 videos13 readings4 assignments2 discussion prompts Welcome to the second week of the Tableau Business Analyst Professional Certificate! Last week, you learned about the differences between business analysis, business analytics, and data analytics. This week, you're going to dive deeper into the role that analysts play in the data analytics lifecycle. Specifically, you will learn about real data-driven businesses, the importance that analytics has on business decision-making, and the various types of analytics used to solve business problems. In addition, you will see how analysts use the data analytics lifecycle in order to best reach their goals. Let's begin! 1 video8 readings4 assignments1 discussion prompt1 plugin Welcome to the third week of the Tableau Business Analyst Professional Certificate! Last week, you learned about the data analytics lifecycle. Since project managers often work closely with business analysts, this week, you'll be learning about foundational project management concepts. Let's begin! 2 videos7 readings3 assignments Welcome to the fourth and final week of the Tableau Business Analyst Professional Certificate! Previously, you learned about the relationship between project management and business analysis. Now, it is time to learn about the importance of data literacy in the context of this certificate. Time to dive in! 2 videos9 readings1 assignment1 discussion prompt | 4 modules | Beginner level | null | https://www.coursera.org/learn/introduction-to-business-analytics | 97% |
6,521 | AI, Business & the Future of Work | 76,213 | 4.6 | 1,119 | Anamaria Dutceac Segesten | Lund University | [] | This course from Lunds university will help you understand and use AI so that you can transform your organisation to be more efficient, more sustainable and thus innovative. The lives of people all over the world are increasingly enhanced and shaped by artificial intelligence. To organisations there are tremendous opportunities, but also risks, so where do you start to plan for AI, business and the future of work?
Whether you are in the public or private sector, in a large organisation or a small shop, AI has a growing impact on your business. Most organisations don’t have a strategy in place for how to make AI work for them.
The teacher, Anamaria Dutceac Segesten, will guide you through the topics with short lectures, interviews and interactive exercises meant to get you thinking about your own context.
12 industry professionals, AI experts and thought leaders from different industries have been interviewed and will complement the short lectures to give you a broad overview of perspectives on the topics. You will meet:
Kerstin Enflo
Professor in Economic History
Lund University
Dr. Irene Ek
Founder
Digital Institute
Samuel Engblom
Policy Director
The Swedish Confederation of Professional Employees
Pelle Kimvall
Lead Solution Ideator
AFRY X
Joakim Wernberg
Research Director, Digitalisation and Tech Policy
Swedish Entrepreneurship Forum
Marcus Henriksson
Empathic Leader of AI & Automation and Digital Business Development
Empathic
Johan Grundström Eriksson
Board Advisor, Innovation Management & Corporate Governance
Founder & Chairman, aiRikr Innovation AB
Jakob Svensson
Professor in Media and Communication Studies
Malmö University
Ulrik Franke
Senior Researcher
RISE Research Institutes of Sweden
Björn Lorentzon
Nordic Growth Lead
Sympa
Anna Felländer
Founder
AI Sustainability Center
Prof. Fredrik Heintz
Associate Professor of Computer Science
Linköping University You will be introduced to key concepts in the area of AI and given the historical context from which AI as a technological revolution takes place. 11 videos3 readings2 assignments You will be introduced to how the power of AI can be recruited for your organisation. 16 videos1 reading1 assignment You will be introduced to the possible risks of introducing AI to your organisation. 10 videos3 readings1 assignment1 plugin You will be introduced to future scenarios of human-machine interaction. 8 videos1 reading2 assignments1 discussion prompt | 4 modules | Beginner level | null | https://www.coursera.org/learn/ai-business-future-of-work | 96% |
6,522 | VLSI Chip Design and Simulation with Electric VLSI EDA Tool | Enrollment number not found | Rating not found | null | Subject Matter Expert | L&T EduTech | ['Analog Circuit Design', 'CMOS VLSI Design', 'Simulation and Layout Design', 'Digital Circuit Design', 'Electronic VLSI EDA Tools'] | This course provides a comprehensive exploration of CMOS VLSI design and simulation, covering IC technology, CMOS structures, historical timelines, processor intricacies, MOS transistor design, non-ideal characteristics, power dissipation, low-power design techniques, and practical insights into CMOS logic gates. Participants will delve into fundamental components and circuit design in the "Analog Circuit CMOS Chip Design and Simulation" module, using the Electric VLSI EDA tool. This includes stick diagrams, tool installation and usage, and hands-on experience in schematic/layout representations, enhancing electronic circuit design proficiency. In the "Digital Circuit CMOS Chip Design and Simulation" module, participants create systematic workflows for schematic/layout designs using the Electric VLSI EDA tool. The curriculum covers logic gates, and half adder circuits, providing a holistic understanding of CMOS logic circuit design. Throughout the course, participants acquire a robust skill set, combining theoretical knowledge with practical expertise in CMOS VLSI design and simulation. By the end of this course, you will be able to:
Develop a profound understanding of Integrated Circuit (IC) technology, exploring its historical timeline and key inventions.
Discuss Moore’s Law and technology scaling, recognizing the importance of processors in Very Large-Scale Integration (VLSI).
Gain proficiency in MOS transistors, explaining their types and comprehending their working process, including operational modes of both PMOS and NMOS transistors.
Describe ideal transistor I-V characteristics and delve into non-ideal transistor characteristics, including leakage currents and their impact on device performance.
Understand the workings of the CMOS inverter, covering both its static behavior and power dissipation characteristics.
Explain components and mechanisms involved in CMOS power dissipation, addressing both static and dynamic aspects.
Explore benefits of low-power design techniques, analyzing factors influencing power consumption, and learning various power reduction techniques.
Understand the purpose of power gating in reducing overall power consumption and learn techniques to minimize short-circuit power consumption.
Explain the fundamentals of CMOS logic gates, including the series and parallel connections of NMOS and PMOS transistors.
Acquire skills in designing basic logic gates using Complementary Metal-Oxide-Semiconductor (CMOS) technology.
Develop skills in designing CMOS circuits using stick diagrams, creating blueprints for physical layouts adhering to semiconductor manufacturing process design rules.
Install and set up Electric VLSI EDA tool for VLSI circuit design, exploring components, schematic and layout editors, and conducting essential checks.
Understand PMOS and NMOS transistor concepts, design schematic and layout representations, perform various checks, and conduct simulations for current-voltage characteristics.
Grasp the CMOS inverter concept, create schematic and layout designs, and simulate the inverter to analyze behavior and characteristics.
Explore common-source and common-drain amplifiers in analog circuit design, designing schematics, layouts, and performing simulations to analyze performance.
Investigate the three-stage oscillator concept, design schematics and layout representations with CMOS inverters, and analyze performance through waveform simulations.
Comprehend CMOS NAND gate concepts, design schematics, validate layouts, and simulate for logical behavior analysis with diverse input scenarios.
Explore various digital circuit elements such as AND, NOR, and OR gates, XOR gate, and half adder, designing schematics, layouts, and performing simulations. This module provides a thorough introduction to CMOS structures and functionality, exploring IC technology advantages. It covers the historical timeline of IC technology, Moore's Law, and technology scaling. Participants delve into the crucial role of processors and the intricate process of crafting Integrated Chips from Silica Sand, spanning various stages.
The module explores MOS transistor design intricacies, covering types and operational modes. It discusses characteristics of ideal and non-ideal transistors, including diverse leakage types. Factors impacting transistor performance, like temperature sensitivity and environmental variations, are explored. The curriculum covers CMOS transistors design, CMOS inverter design, and analysis of power dissipation, noise margin, and propagation delay in CMOS designs, encompassing power dissipation aspects and mechanisms.
The module investigates leakage current sources, low-power design benefits, and factors influencing power consumption. Power reduction techniques, including Dynamic Voltage and Frequency Scaling (DVFS), power gating, and strategies for mitigating short-circuit power consumption, are included. Emphasis is on ultra-low power circuit design, power reduction, and optimization techniques for a holistic understanding of energy-efficient design principles. The module concludes with an overview of CMOS logic gates, addressing PMOS and NMOS transistors design intricacies, series/parallel connections configurations, and practical insights into designing logic gates using CMOS networks. 18 videos3 readings1 assignment This module immerses participants in the schematic and layout design of fundamental components and circuits. It commences by introducing the fundamentals of stick diagrams, outlining the rules governing stick diagram and layout design, and providing a practical example for both stick and layout design. Subsequently, the module elucidates the installation process and step-by-step procedures for utilizing the Electric VLSI EDA tool. A comprehensive overview of the tool's built-in functions is provided, along with essential checks and waveform simulation. The module also covers the integration of LTspice with Electric VLSI EDA Tool, enhancing participants proficiency in design exploration.
Furthermore, the module offers a concise introduction and procedural guidelines for designing schematic and layout representations of various electronic circuits, including PMOS, NMOS, CMOS inverter, Common Source Amplifier, Common Drain Amplifier, and a three-stage oscillator. Participants gain hands-on experience in representation, simulation, and 3D visualization of layout designs for these circuits. The procedures encompass Design Rule Checking (DRC) and Electrical Rule Checking (ERC), followed by NCC checks to ensure the practical implementation of the designs. This comprehensive approach ensures that participants not only grasp theoretical concepts but also acquire practical skills in the design and verification of electronic circuits using EDA tools. 34 videos1 assignment This module is designed to offer participants a deeper understanding of the schematic and layout design of various CMOS logic circuits. It guides participants through the process of creating a new cell in a predefined library, allowing them to choose between "schematic or layout" as the design approach. Emphasizing a systematic workflow, the module highlights that each design initiates with a schematic cell, subject to Design Rule Checking (DRC) at each step to assess the hierarchy of representations. The design is then simulated, and its characteristics are defined through waveform analysis.
Participants will acquire the skills to craft the layout of schematic circuits, incorporating thorough checks such as DRC, Electrical Rule Checking (ERC), and Netlist-to-Component Connectivity (NCC) at the final stage. These checks ensure alignment between the designed layout and schematic, affirming the practical viability of the circuit. The module specifically covers the design of AND gate, OR gate, their complementary gates, XOR gate, and half adder circuits using the Electric VLSI EDA Tool and their characteristic verifications are done through LT spice software. 24 videos1 assignment | 3 modules | Intermediate level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/vlsi-chip-design-and-simulation-with-electric-vlsi-eda-tool | null |
6,523 | Introduction to Database Migration | Enrollment number not found | Rating not found | 1 | AWS Instructor | Amazon Web Services | [] | Most applications need to store data in some form of database. Amazon Web Services (AWS) provides several tools to help you migrate your databases, and the applications that use them, to the cloud. You can change their database management system (DBMS) or even their architecture from SQL to NoSQL, as appropriate. It is fairly simple to migrate data from one server to another when both are using the same database engine, known as homogeneous migration. Going to a different engine, or heterogeneous migration, is harder and may require changes in your application.
In this course, you will learn about two database tools: AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS). 1 reading1 assignment | 1 module | null | 1 hour to complete | https://www.coursera.org/learn/aws-introduction-to-database-migration-paxaf | null |
6,524 | Cloud Computing Primer: Infrastructure as a Service (IaaS) | Enrollment number not found | 4.7 | 15 | Anh Le | Codio | ['infrastructure as a service', 'Cloud Infrastructure', 'Cloud Computing'] | Explore cloud computing basics without installing anything! This course is designed for semi-technical and business learners, providing a solid foundation of cloud computing basics. Learners will build an understanding of how infrastructure as a service (IaaS) works as well. The modules in this course cover cloud computing basics, considerations for IaaS adoption, techniques for IaaS success and growth, as well as provide an exploratory IaaS experience for learners.
To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and suggested exploration examples, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling answer blocks) to small, approachable exercises that take minutes instead of hours. This module introduces learners to the three primary cloud computing service models: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). In addition, four cloud deployment models will also be introduced: public, private, community, and hybrid. 5 readings4 app items This module will cover some of the strategies to consider when thinking about employing an IaaS environment. Provisioning, virtualization, as well as public and private IaaS clouds are also covered. 2 readings3 app items This module will cover service-level agreements and cloud financial models. Some of the most prominent IaaS cloud providers as well as their purposes are also discussed. 1 reading2 app items This module will encourage learners to further develop an existing application in addition to deploying it via GitHub. 1 reading1 app item | 4 modules | Beginner level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/codio-cloud-computing-primer-semi-tech-business-infrastructure-as-a-service-iaas | null |
6,525 | Race and Cultural Diversity in American Life and History | 45,686 | 4.6 | 298 | James D. Anderson | University of Illinois Urbana-Champaign | [] | Learners will deepen their understanding and appreciation of ways in which race, ethnicity and cultural diversity have shaped American institutions, ideology, law, and social relationships from the colonial era to the present. Race and ethnicity are ideological and cultural categories that include all groups and individuals. Hence, this course is designed in significant part to take a broad look at the ideology of race and cultural diversity in America’s past and present. The primary focus is on the historical and social relationships among European Americans, Native Americans, African Americans, Latino/as, and Asian/Pacific Americans. Issues of race and ethnicity are examined across different ethno-cultural traditions in order to interweave diverse experiences into a larger synthesis of the meaning of race and ethnicity in American life. In this course, we conceive of “race” and “diversity” as references to the entire American population, even as we recognize that different groups have unique historical experiences resulting in distinctive and even fundamental cultural differences. We treat race and ethnicity as dynamic, complex ideological and cultural processes that shape all social institutions, belief systems, inter-group relationships, and individual experiences. This module introduces the concept of "race," and begins to address the use of the concept in the United States. It also explores both fears and opportunities raised by the realities of racial and ethnic diversity. 6 videos1 reading1 peer review This module begins to address in greater detail a number of specific issues in the context of the United States: the legacy of slavery in the case of African Americans, the position of native Americans post colonization, and the particular circumstances of Asian American immigrants. These examples raise further complexity in the understanding of race and ethnicity. 9 videos1 reading1 peer review The course now turns in this third module to the complex lived realities of race and ethnic diversity in contemporary American society. Among the issued explored include geographical segregation and racial bias. 6 videos1 reading1 peer review The course concludes in this fourth module with an investigation of institutional racism, systemic social inequalities, and patterns of discrimination. 5 videos3 readings1 peer review | 4 modules | Beginner level | null | https://www.coursera.org/learn/race-cultural-diversity-american-life | 95% |
6,526 | Diagnosing Health Behaviors for Global Health Programs | 5,255 | 4.7 | 92 | William Brieger, DrPH | Johns Hopkins University | [] | Health behavior lies at the core of any successful public health intervention. While we will examine the behavior of individual in depth in this course, we also recognize by way of the Ecological Model that individual behavior is encouraged or constrained by the behavior of families, social groups, communities, organizations and policy makers. We recognize that behavior change is not a simplistic process but requires an understanding of dimensions like frequency, complexity and cultural congruity. Such behavioral analysis is strengthened through the use of a toolkit of theoretical models and practical frameworks. While many of such models and frameworks exist, in this course we will review the Health Belief Model, Social Learning Theory, Theory of Reasoned Action, the Trans-Theoretical Model and the PRECEDE Framework. After building your behavioral analysis toolkit with these examples, you will see that actual behavior change program planning uses a combination of ideas and variables from different models, theories and frameworks. Ultimately we aim to encourage course participants to apply the idea that successful programs are theory based as they go about involving people in improving their health. We start the course with an introduction to the dimensions of health behavior as well as an outline of what to expect from the rest of the course. 2 videos4 readings1 assignment1 discussion prompt We continue with theories and models, understanding human behavior, and understanding perspectives. We'll also examine an example of meanings and interpretations using malaria and river blindness as well as an introduction to force field theory and an explanation of using and making models and theories. 6 videos1 assignment In this module you will be introduced to the Health Belief Model as well as the Social Learning Theory, which will allow you to better understand how to complete your Peer Review in this module, as you will be completing one of each with a case study provided. 5 videos1 assignment1 peer review1 discussion prompt Here you will be introduced to Process Models and take a look at PRECEDE for the first time. 3 videos1 reading1 assignment In this final module, we discuss the PRECEDE Framework as an extension of the previous module. 3 videos1 reading1 assignment | 5 modules | Beginner level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/health-behaviors-global | null |
6,527 | Business Economics and Game Theory for Decision Making | 2,270 | 4.5 | 24 | Liad Wagman | Illinois Tech | ['Pricing', 'Microeconomics', 'Business Strategy', 'Competitiveness', 'Market (Economics)'] | Good decision making and strategy do not exist in isolation: the success and profitability of a business depend not only on the organization’s own strategic moves but also on those that other firms make, especially competitors. Understanding the strategic linkages among firms can therefore be immensely valuable. Economics and Game theory offer tools that can specifically enhance one's understanding and ability to exploit such strategic linkages. This course will cover one of the most crucial decisions that a firm offering a differentiated product needs to make – how to price its product. In addition, the course will demonstrate some of the consequences of governments and platforms intervening in markets, either because markets may have failed or because the rule-maker may have been persuaded to intervene by key stakeholders. Importantly, the course will layer game-theoretic considerations on top of economic considerations in the marketplace. By the end of the course, students will be able to:
• Develop an understanding of the economic concept of elasticity and be able to utilize it in making informed decisions on how, if at all, to alter a product’s pricing.
• Identify the implications of market intervention for various stakeholders, including consumers, firms, and government, and incorporate them in analyzing potential policies.
• Identify sources of market power and solve for profit-maximizing prices.
• Classify forms of price discrimination and develop an understanding of why the practice can be beneficial in customer segmentation and price customization.
• Develop an understanding of the dynamics of oligopolistic price and quantity competition.
• Describe introductory concepts in game theory, including simultaneous games, sequential games, and auctions, as well as develop an understanding for how asymmetric information can lead to adverse selection issues.
Required Textbook: None
Software Requirements: None
To succeed in this course, learners should possess a basic foundation in economic markets and microeconomics. If you haven't yet developed these skills, we strongly recommend completing Managerial Economics: Buyer and Seller Behavior beforehand. This prior course will equip you with the necessary foundation to excel in this material. Welcome to Business Economics and Game Theory for Decision Making! Module 1 introduces the concept of elasticity, and specifically, price elasticity of demand, which quantifies the intricate relationship between price changes and buyer behavior. Price elasticity of demand measures the responsiveness of consumer demand to fluctuations in product prices. Understanding elasticity is paramount in economics, as it empowers businesses and policymakers to make informed decisions regarding dynamic pricing strategies, revenue optimization, and resource allocation. By calculating and analyzing the elasticity of demand for various products, economists can identify the optimal price points that maximize profitability and market efficiency. This module explores some of the foundations of price elasticity and its applications, to provide the requisite infrastructure for further study in subsequent modules, as we aim to navigate the complex landscape of pricing in today's dynamic markets. 8 videos5 readings4 assignments1 discussion prompt Module 2 delves into the complex relationship among governments, platforms, businesses, and consumers, shedding light on the profound impacts of policy interventions on various stakeholders. In an increasingly interconnected world, government policies and platform regulations wield immense influence over market dynamics. This module explores how these interventions can lead to clear winners and losers among businesses, consumers, and society at large. Moreover, it delves into the strategies and tactics employed by firms to actively influence and shape market policies to their advantage. By examining actual policy scenarios, learners will gain an understanding of the multifaceted interactions within modern markets, the pivotal role played by government and platforms in shaping their outcomes, and the high potential for unintended consequences from market intervention. 7 videos4 readings4 assignments Module 3 begins to cover a crucial component of strategy – pricing – by directly solving a profit maximization problem. Market power enables firms to set prices and influence consumer choices to a substantial degree. This module delves into the complexities of optimal pricing in a number of scenarios, providing a foundation for concepts such as price discrimination, monopolistic competition, and strategic pricing. Learners will gain insights into the potential trade-offs between profit maximization and consumer welfare, as well as the economic and ethical implications of firms wielding substantial pricing authority. By examining actual scenarios, this module equips students with the analytical tools and knowledge needed to begin to navigate the challenging terrain of pricing strategies. 7 videos5 readings4 assignments Module 4 continues the coverage of optimal pricing with market power by providing a second, dynamic and iterative approach that firms employ in determining product pricing – by tying together the concepts of elasticity and profitability. As a result, the module offers profound insights into the dynamic world of pricing strategies. In today's complex and diverse markets, businesses must tailor their approaches to meet the varying needs and preferences of different consumer groups. This module explores the fundamental concept of market segmentation, by which firms identify and categorize distinct customer segments based on factors such as demographics and behaviors as a means of price customization, where pricing strategies are adapted to align with the unique characteristics and willingness-to-pay of each segment. This module equips learners with the knowledge and skills to craft effective pricing strategies that maximize profitability, integrating all of the previously covered concepts in the course into a single, simple rule that is employed by sophisticated firms to price optimally and dynamically: The Optimal Markup Rule. 5 videos4 readings4 assignments Module 5 serves as a capstone in the economics sequence – ending where the sequence began – providing students with a compelling framework for understanding strategic decision-making, including pricing, in a wide range of contexts. Non-cooperative game theory, which analyzes the strategic interactions and choices of economic agents such as individuals and firms within competitive settings, is essential for fostering an understanding of how economic agents make decisions that impact outcomes. This module introduces students to the key concepts and principles of game theory, such as Nash equilibrium, dominant strategies, and information asymmetries, while exploring its applications in economics, business, and policy. Students will develop the analytical skills needed to assess and predict outcomes in simple strategic interactions, connecting together all of the concepts from the economics sequence into a single framework. 7 videos4 readings4 assignments This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course. 1 assignment | 6 modules | Intermediate level | null | https://www.coursera.org/learn/illinois-tech-business-economics-and-game-theory-for-decision-making | null |
6,528 | Water Cooperation and Diplomacy | 1,746 | 4.9 | 23 | Fatine Ezbakhe | University of Geneva | ['Negotiation', 'concept critical analysis', 'data and information management', 'legal and institutional tools critical application', 'transformation of conflicts'] | If you are a student, a professional, an academic, or policy/decision maker involved in water cooperation and diplomacy, this MOOC is addressed to you. It enhances your scientific knowledge and capacities to engage in water cooperation and diplomacy processes; it also gives you ammunition to contribute to the public debate and discourses on shared waters. Finally, it connects you with other professionals, students, decision and policy makers as well as academics from around the world, and offers you opportunities to exchanges views, experiences and knowledge with them.
This course is composed of five modules and includes a variety of innovative training material i.e. lectures, interviews, maps, case studies, exercises and simulations.
Main topics include:
• The core features of the concept of water diplomacy
• The causes and dynamics of water conflicts and cooperation
• Water Diplomacy Tools and Processes
• Legal and institutional frameworks for water cooperation and diplomacy, and
• The role of information and knowledge in water cooperation and diplomacy processes
Enrol and integrate our water cooperation and diplomacy community! In this module you are introduced to the core features of the concept of water diplomacy. You familiarize with various definitions of water diplomacy, as well as existing similiarities and differences among them. You are presented with key elements related to the implementation of water diplomacy i.e. scales, actors and challenges . 7 videos3 readings6 assignments Transboundary water interaction takes place at different stages of conflict and cooperation. It also often happens simultaneously at various levels and in formal and informal ways. In this module you will learn how relations between actors are influenced by geographical, political and economic asymmetries and what the main theoretical approaches to explain water conflict and cooperation, are. 9 videos2 readings5 assignments This module increases your understanding and practice of, water diplomacy tools. It inspires you to be involved in related processes at various levels with various actors. It does so by (i) explaining everything you need to know on the main three tracks of water diplomacy, (ii) taking you through hands-on exercises, and (iii) assessing acquired skills needed when addressing complex water issues, in the future. 13 videos1 reading7 assignments This module increases your understanding of various legal and institutional frameworks relevant to water cooperation and diplomacy. You will be able to understand, name and explain a number of legal tools and institutional arrangements whose use is pertinent to water cooperation and diplomacy. 9 videos2 readings5 assignments Data exchange and joint fact finding can contribute to building trust, and information and knowledge informs transboundary water management. However, data on water resources can be protected as matter of national security which prevents data exchange. Identifying what data and information is needed to take decisions is a difficult task, and power imbalances can influence data collection, knowledge production, and narratives. This module teaches you who produces and uses data, information and knowledge, and how different actors use these to influence water cooperation. 10 videos4 readings6 assignments | 5 modules | Intermediate level | 20 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/water-cooperation-and-diplomacy | null |
6,529 | Black Lives Matter | 4,896 | 4.5 | 75 | Tristan Cabello, PhD | Johns Hopkins University | [] | The #BlackLivesMatter movement is the most significant political movement in African American life in the United States in the last fifty years. BLM leaders denounced anti-black racism, white supremacy, and police brutality and reshaped how we think about gender, sexuality, social justice, economic injustice, and crime. The movement is grounded in a long history of African American activism. From slave revolts to the Black Panther Party, from the founding of the Congressional Black Caucus, to the eruption of the #BLM Movements, this course is an interdisciplinary and historical exploration of the BlackLivesMatter movement. In this module, learners will study the fundamentals of a "Racist Culture." Learners will analyze the history of racism in America, the making of the conservative movement and the diversity of African American communities. Learners must receive a passing grade (80%) on all quizzes. Discussion boards are optional. 6 videos9 readings3 assignments3 discussion prompts In this module, learners will study the relationship between race and policing in the United States, by analyzing the history of policing, racial relations during the Obama Presidency and the tensions revealed by the killing of Trayvon Martin. Learners must receive a passing grade (80%) on all quizzes. Discussion boards are optional. 4 videos15 readings3 assignments3 discussion prompts In this module, learners will study the politics, the people and the organization of the Black Lives Matter movement. Learners must receive a passing grade (80%) on all quizzes. Discussion boards are optional. 6 videos10 readings3 assignments3 discussion prompts In this module, learners will study the future of the Black Lives Matter movement, by analyzing the George Floyd moment, the globalization of the movement, and future political options. Learners must receive a passing grade (80%) on all quizzes. Discussion boards are optional. 4 videos9 readings4 assignments4 discussion prompts | 4 modules | Beginner level | 16 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/black-lives-matter | null |
6,530 | Anatomy: Gastrointestinal, Reproductive and Endocrine Systems | 31,517 | 4.8 | 584 | Glenn M. Fox | University of Michigan | ['Gastrointestinal system', 'Reproductive system', 'human anatomy', 'Endocrine system'] | In this anatomy course, part of the Anatomy Specialization, you’ll learn about the various digestive, endocrine, and reproductive organs, their functions, and pathways of nerves and blood vessels serving these organs. Clinical correlations and vignettes will be used to highlight the importance of these anatomical structures and their relationships. Images and videos from cadaveric and artistic materials will be used to illustrate these concepts. 13 videos3 readings12 assignments2 discussion prompts 19 videos16 assignments1 discussion prompt 20 videos2 readings9 assignments1 discussion prompt | 3 modules | Beginner level | null | https://www.coursera.org/learn/anatomy403-4x | 99% |
6,531 | Battery State-of-Health (SOH) Estimation | 14,592 | 4.7 | 155 | Gregory Plett | University of Colorado Boulder | ['H\u200bow to implement state-of-health (SOH) estimators for lithium-ion battery cells'] | This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to:
- Identify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work
- Execute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results
- Compute confidence intervals on total-capacity estimates
- Compute estimates of a cell’s equivalent-series resistance using lab-test data
- Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors) As battery cells age, their total capacities generally decrease and their resistances generally increase. This week, you will learn WHY this happens. You will learn about the specific physical and chemical mechanisms that cause degradation to lithium-ion battery cells. You will also learn why it is relatively simple to estimate and track changes to resistance, but why it is difficult to track changes to total capacity accurately. 8 videos13 readings7 assignments1 discussion prompt1 ungraded lab Total capacity is often estimated using ordinary-least-squares (OLS) methods. This week, you will learn that this is a fundamentally incorrect approach, and will learn that a total-least-squares (TLS) method should be used instead. You will learn how to derive a weighted OLS solution, to use as a benchmark, and how to derive a weighted TLS solution also. 7 videos7 readings7 assignments4 ungraded labs Unfortunately, the weighted TLS solution you learned in week 2 is not well suited for efficient computation on an embedded system like a BMS. As an intermediate step toward finding an efficient weighted TLS method, you will first learn a proportionally weighted TLS method this week. You will then learn how to generalize this to an "approximate weighted TLS" (AWTLS) method, which gives good estimates, and is feasible to implement on a BMS. 7 videos7 readings7 assignments4 ungraded labs So far this course, you have learned a number of methods for estimating total capacity. This week, you will learn how to implement those methods in Octave code. You will also explore different simulation scenarios to benchmark how well each method works, in comparison with the others. The scenarios are representative of hybrid-electric-vehicle (HEV) and battery-electric-vehicle (BEV) applications, but the principles learned can be extrapolated to other similar application domains. 6 videos6 readings6 assignments5 ungraded labs In the third course of the specialization, you learned how to use extended Kalman filters (EKFs) and sigma-point Kalman filters (SPKFs) to estimate the state of a battery cell. In this honors week, you will learn how to extend those concepts to apply EKF and SPKF to estimating the parameters of a battery-cell model if the state is known, and also how to simultaneously estimate both the state and parameters of a cell model. 6 videos6 readings4 assignments2 ungraded labs You have learned several different total-capacity estimation methods. Some of these methods work better than others in general, but any method is only as good as the data you give it. In this project, you will explore a different way to determine the "x" and "y" data you use as input to the total-capacity estimation methods. 1 programming assignment1 ungraded lab | 6 modules | Intermediate level | null | https://www.coursera.org/learn/battery-state-of-health | 97% |
6,532 | Business Intelligence (BI) Essentials | 22,139 | 4.7 | 175 | Rav Ahuja | IBM | ['Data Wrangling', 'Data Analysis', 'Data Warehousing', 'Data Visualization', 'Data Mining'] | This course provides a comprehensive introduction to business intelligence (BI), its key concepts, components, and the benefits and challenges of implementing BI solutions. It also discusses career opportunities and roles available in the BI arena and the skills and qualifications required. You will also gain insight into the data ecosystem, BI analytics landscape, data repositories, and the extract, transform, and load (ETL) process. Additionally, you will be introduced to the role of statistical analysis in mining and visualizing data to identify patterns and trends and how to weave a compelling story with data.
The course offers practical exposure with hands-on activities and a final project that enables you to apply your knowledge in real-world scenarios. This specialized program is tailored for individuals interested in pursuing a career as a BI analyst, and no prior data analytics experience or degree is required to take this course. This module introduces you to the field of BI. You will gain insight into the key concepts of BI, understand its importance in modern business operations, and explore the benefits and challenges associated with implementing BI solutions through various examples. You will also gain insight into how BI, data analytics, data science, and data engineering are different. Additionally, you will learn about the career opportunities and roles in BI and the skills and qualifications to develop a successful career in this field. By the end of the module, you will have a fundamental foundation in BI and be able to apply your knowledge to understand its significance in real-world business scenarios. 13 videos4 readings4 assignments1 discussion prompt4 plugins In this module, you will learn about the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will gain insight into various types of data repositories, such as databases, data warehouses, data marts, data lakes, and data pipelines. In addition, you will learn about the extract, transform, and load (ETL) process, which is used to extract, transform, and load data into data repositories. Finally, the module also provides an overview of big data and big data processing tools such as Apache Hadoop, Hadoop Distributed File System (HDFS), Hive, and Spark. 17 videos2 readings4 assignments2 plugins This module explores the ecosystem of business intelligence (BI) analysts and provides insights into the types of analytics, such as descriptive, diagnostic, predictive, and prescriptive analytics, and understanding their unique contributions to data analysis. You will also learn about the key BI components that make up its process and the relevance of key performance indicators (KPIs) and metrics used in evaluating business performance. Additionally, you will gain insight into different BI technologies and tools used, the differences between these technologies, and how to analyze the business context, processing requirements, and objectives of a BI project to gain a comprehensive understanding of its scope and potential impact. Finally, the module introduces you to the overall BI process and delves into the privacy and security issues and the necessary regulatory compliance. 12 videos2 readings4 assignments7 plugins In this module, you will learn how to identify, gather, and import data from disparate sources. You will learn about the tasks involved in wrangling and cleaning data to prepare it for analysis. In addition, you will learn about different tools that can be used for gathering, importing, wrangling, and cleaning data, along with some of their characteristics, strengths, limitations, and applications. 7 videos2 readings4 assignments2 plugins In this module, you will learn about the role of statistical analysis in mining and visualizing data. You will also be introduced to various statistical and analytical tools and techniques that can be used to gain a deeper understanding of your data. These tools help you analyze the patterns, trends, and correlations in data. Additionally, you will learn about various types of data visualizations to communicate and tell a compelling story and different tools that can be used for mining and visualizing data, along with some of their characteristics, strengths, limitations, and applications. Finally, the module delves into how you can effectively present the BI insights you have gained. 9 videos2 readings4 assignments1 discussion prompt2 plugins In this module, you will identify and apply the right BI techniques and tools to various real-world business scenarios and develop a comprehensive BI project. You will also gain an opportunity to apply your acquired knowledge and skills in a hands-on assignment. 4 videos4 readings3 assignments5 plugins | 6 modules | Beginner level | null | https://www.coursera.org/learn/business-intelligence-essentials | 99% |
6,533 | Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion | 48,885 | 4.9 | 711 | Dr. Wayne Whiteman, PE | Georgia Institute of Technology | [] | This course is an introduction to the study of bodies in motion as applied to engineering systems and structures. We will study the dynamics of particle motion and bodies in rigid planar (2D) motion. This will consist of both the kinematics and kinetics of motion. Kinematics deals with the geometrical aspects of motion describing position, velocity, and acceleration, all as a function of time. Kinetics is the study of forces acting on these bodies and how it affects their motion. ---------------------------
Recommended Background:
To be successful in the course you will need to have mastered basic engineering mechanics concepts and to have successfully completed my courses en titled an “Introduction to Engineering Mechanics” and “Applications in Engineering Mechanics.” We will apply many of the engineering fundamentals learned in those classes and you will need those skills before attempting this course.
---------------------------
Suggested Readings:
While no specific textbook is required, this course is designed to be compatible with any standard engineering dynamics textbook. You will find a book like this useful as a reference and for completing additional practice problems to enhance your learning of the material.
---------------------------
The copyright of all content and materials in this course are owned by either the Georgia Tech Research Corporation or Dr. Wayne Whiteman. By participating in the course or using the content or materials, whether in whole or in part, you agree that you may download and use any content and/or material in this course for your own personal, non-commercial use only in a manner consistent with a student of any academic course. Any other use of the content and materials, including use by other academic universities or entities, is prohibited without express written permission of the Georgia Tech Research Corporation. Interested parties may contact Dr. Wayne Whiteman directly for information regarding the procedure to obtain a non-exclusive license. In this section students will learn about particle kinematics, Newton's Laws and Euler's Laws, motion of particles and mass centers of bodies. 8 videos17 readings1 assignment In this section students will learn the work-energy principle for particles/systems of particles, impulse and momentum, impact, conservation of momentum and Euler's 2nd Law - Moment of momentum. 5 videos8 readings1 assignment In this section students will learn about planar (2D) rigid body kinematics, relative velocity equation, rotation about a fixed axis, instantaneous center of zero velocity, and relative acceleration equations. 6 videos11 readings1 assignment In this section students will continue to learn about planar (2D) rigid body kinematics, relative velocity equation, rotation about a fixed axis, instantaneous center of zero velocity, and relative acceleration equations. 8 videos12 readings1 assignment In this section students will learn about planar (2D) rigid body kinetics, translation, moment of momentum - angular momentum, and equations of motion. 6 videos11 readings1 assignment In this section students will continue to learn about planar (2D) rigid body kinetics using the Work-Energy Method. 9 videos11 readings1 assignment In this section students will continue to learn about planar (2D) rigid body kinetics using the Impulse-Momentum Method and Conservation of Momentum. 5 videos10 readings1 assignment | 7 modules | null | 23 hours to complete (3 weeks at 7 hours a week) | https://www.coursera.org/learn/dynamics | 96% |
6,534 | Exploratory Data Analysis with MATLAB | 40,656 | 4.8 | 803 | Erin Byrne | MathWorks | ['Data Analysis', 'Data Visualization', 'Matlab'] | In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation).
By the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data. You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time. In this module you’ll learn about the key steps in a data science workflow and begin exploring a data set using a script provided for you. As you work with the file, take note of the different elements in the script. As you progress through the course, you’ll create a similar script yourself. 11 videos4 readings2 assignments1 discussion prompt In this module you’ll import data into MATLAB, customize the import options, and generate code to automate the process. You’ll also work with different types of data, such as numeric, dates, and text. 8 videos1 reading2 assignments1 discussion prompt In this module you’ll create visualizations and learn how to customize figures. You’ll also filter your data to select only what is needed for your analysis. You’ll create new tables and save them to use in the future or share with others outside of MATLAB. 5 videos3 assignments1 discussion prompt In this module you’ll write small pieces of code to extend your analysis. You’ll calculate summary statistics on groups of data and determine if variables are correlated. You’ll extend your ability to filter data to defining conditions across multiple variables. You’ll also modify categorical data to remove, combine, or create new categories to use for defining groups. 11 videos4 readings1 assignment10 app items In this module you’ll create live scripts with interactive controls. Then you’ll create your own analysis of a weather event to submit as a peer-reviewed assignment. 4 videos2 readings2 assignments1 plugin | 5 modules | Beginner level | null | https://www.coursera.org/learn/exploratory-data-analysis-matlab | 96% |
6,535 | COVID-19 Training for Healthcare Workers | 117,629 | 4.8 | 6,356 | S V Mahadevan | Stanford University | ['infection prevention', 'ventilator management', 'emergency/critical care', 'respiratory distress', 'covid-19 diagnosis and treatment'] | COVID-19 is rapidly spreading across the globe and all providers must be prepared to recognize, stabilize and treat patients with novel coronavirus infection. Following completion of this short course physicians, nurses, and other healthcare professionals will have a unified, evidenced-based approach to saving the lives of patients with COVID-19, including those who are critically ill. Learning modules are broken into short videos presented in a richly illustrated and compelling manner. The course is self paced and providers can schedule their learning to fit with their schedules. Topics include symptoms and signs in patients with COVID-19, early stabilization of patients, preventing the need for intubation, and ventilator management. The best evidence and guidelines are summarized while accompanying handouts provide written learning points and links to online resources. Simple infographics are available for providers to utilize within their care facilities to educate and promote optimal care across their entire institution.
To learn more about our other programs and find additional resources, please visit Stanford Emergency Medicine International (https://emed.stanford.edu/specialized-programs/international.html), The Stanford Center for Health Education (https://healtheducation.stanford.edu/), and our Digital Medic Initiative (https://digitalmedic.stanford.edu/our-work/covid-19-resources/).
Accreditation
The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Credit Designation
The Stanford University School of Medicine designates this enduring material for a maximum of 5 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
If you would like to earn CME credit from Stanford University School of Medicine for participating in this course, please review the information here prior to beginning the activity. In this module, you will learn the clinical signs of COVID-19 infection in patients and how to properly use personal protective equipment to reduce the risk of COVID-19 exposure. 4 videos1 reading1 quiz6 assignments In this module, you will learn how to evaluate any sick patient including children. An optional Telehealth module is available as well. 6 videos10 assignments In this module, you will learn to use bedside diagnostic ultrasound to evaluate COVID-19 patients as well as the utility of other common diagnostic tests. 3 videos4 assignments In this module, you will learn about positioning, different types of oxygen therapy, and therapeutics for patients with suspected COVID-19. 3 videos6 assignments In this module, you will learn advanced airway management techniques including bag mask ventilation, endotracheal intubation, and the use of medications in intubated patients. 4 videos6 assignments In this module, you will learn how to initiate ventilator management and identify complications in intubated COVID-19 patients. 2 videos2 readings1 quiz5 assignments1 plugin | 6 modules | null | 8 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/covid-19-training-healthcare | 98% |
6,536 | Django for Everybody Specialization | 82,237 | 4.7 | 2,246 | Charles Russell Severance | University of Michigan | ['Django (Web Framework)', 'HTML', 'SQL', 'JavaScript', 'Cascading Style Sheets (CSS)'] | This specialization introduces Python programmers to building websites using the Django library. Across the four courses, you will learn HTML, CSS, SQL, Django, JavaScript, jQuery, and JSON Web Services. During the course, you will build online websites using Django and those working websites are graded throughout the course. This series is excellent preparation for learning other ways to build web applications using technologies like PHP (Web Applications for Everybody), Flask or Ruby on Rails. This is a great first course in any web development curriculum. Learners are encouraged to take the Python for Everybody Specialization or equivalent before beginning this specialization. Some may find it helpful to take the Web Design for Everybody Specialization before or after this series. Applied Learning Project In this Specialization, students will learn how to build Django applications and by the end of the course, they will have built a simple web site to store and view classified ads with features like photos, search, and favourites. This web site will be in production and could be added to a student's portfolio. Explain the basics of HTTP and how the request-response cycle works Install and deploy a simple DJango application Build simple web pages in HTML and style them using CSS Explain the basic operations in SQL Describe and build a data model in Django Apply Django model query and template tags/code of Django Template Language (DTL) Define Class, Instance, Method Build forms in HTML Define Django sessions and how cookies are used to support sessions Apply built-in login functionality in Django and manage login users in views Define one-to-many models and demonstrate how to represent links in a database Create, edit, and delete form flow inside of a generic edit view Explain and give examples of many-to-many relationships in data modeling Write syntactically correct JavaScript language and demonstrate debugging capabilities Build objects using JavaScript Explain basic elements of low-level jQuery | 4 course series | Intermediate level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/django | null |
6,537 | Semiconductor Packaging Specialization | 2,364 | 4.6 | 128 | Terry Alford | Arizona State University | ['Quality control in semiconductor packaging', 'Materials selection and testing', 'Semiconductor applications', 'Manufacturing techniques for semiconductor packaging', 'Quality control in semiconductor packaging', 'Materials selection and testing', 'Semiconductor applications', 'Manufacturing techniques for semiconductor packaging'] | Microelectronics enable all aspects of our daily lives (across consumer products, automotive, communication, computer, medical, agriculture), and must all be housed in secure packages. This specialization, jointly developed by ASU and Intel, provides a foundational understanding of what Semiconductor Packaging is, how packaging is designed and made, and how it works to finish, connect and protect functional parts. Applied Learning Project Learners will complete assessments based on industry experiences, which will serve as a basis for learners to effectively demonstrate the application of semiconductor packaging methodology. The structure of the course and the step-by-step process is designed to ensure learner success. Introduction to essential concepts such as length scales, transistor actions and feature sizes of integrated circuits. Historical observations and trends using Moores Law Explore the anatomy and function of semiconductor packaging. Recognize various types of packages and how they differ in materials, design and reliability. Learn about the various stages of semiconductor package manufacturing. The role of Process Control Systems in semiconductor manufacturing. How Process control Systems can help identify and correct process problems. How to use control charts to monitor process performance. Introduction to Pathway for Assembly and Packaging technologies The evolution and impact of packaging on product performance and innovation. | 3 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/semiconductor-packaging | null |
6,538 | Expanding SEL | 4,308 | 4.8 | 122 | Emily Claire Price | University of Colorado Boulder | [] | Social and emotional learning, or SEL, programs have flourished in schools during the last decade. In this course the instructors (Emily Price and Ben Kirshner) introduce and help you examine community based and youth-empowerment approaches to social and emotional learning. Some of these approaches address the impact of social and political systems, such as immigration and structural racism, on children’s social and emotional experiences. This course is a part of the 5-course Specialization “The Teacher and Social Emotional Learning (SEL)”. Interested in earning 3 university credits from the University of Colorado-Boulder for this specialization? If so check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first module of this course for additional information.
We want to note that the courses in this Specialization were designed with a three-credit university course load in mind. As a participant you may notice a bit more reading content and a little less video/lecture content. Completing and passing the SEL Specialization allows the participant to apply for 3 graduate credits toward teacher re-certification and professional enhancement. We want to ensure the quality and high standards of a University of Colorado learning experience.
Interested in earning 3 graduate credits from the University of Colorado-Boulder for The Teacher and Social Emotional Learning (SEL) Specialization? Check out "How you can earn 3 university credits from the University of Colorado-Boulder for this specialization" reading in the first week of this course for more information. In this module we introduce three tensions within SEL, the first of which is the potential use of SEL as a means of managing student behavior. We investigate how behavior management strategies can lead to emotional manipulation, as well as how students of color are disproportionately impacted by these policies. Knowing that SEL programs are often adopted with the aim of improving classroom management and reducing problem behaviors, we explore how this can instead be approached through humanizing structures of management that promote student agency. 3 videos2 readings1 assignment1 discussion prompt In this module we take up a second tension within SEL programming, the relative inattention to issues of culture and context in determining what SEL skills to promote. In situating SEL within larger cultural and structural contexts, we examine the need to consider issues of race, class, gender, sexuality, and culture in developing approaches to SEL. 1 video1 reading1 assignment1 discussion prompt In this module, we consider a third tension in SEL programming - what success looks like, and how we measure it. We examine the different ways student outcomes have been measured, as well as the issues surrounding the assessment of soft skills such as social and emotional development. 3 videos1 reading1 assignment In this module we move from articulating tensions within SEL to exploring ways forward. In this module, we focus on the two self-oriented competencies, self-awareness and self-management. In looking at more equity-oriented means of approaching self-awareness and self-management, we look at two examples in particular - mindfulness and testimonials. 1 video1 reading1 assignment1 discussion prompt In this module we continue our focus on equity-oriented ways of approaching SEL with a focus on the socially oriented competencies, social awareness and relationship building. In particular, we examine how critical witnessing and youth participatory action research (YPAR) can enhance traditional approaches to SEL. 1 video1 reading1 assignment1 discussion prompt | 5 modules | Advanced level | 12 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/expanding-sel | null |
6,539 | Agroforestry III: Principles of Plant and Soil Management | Enrollment number not found | Rating not found | null | Jennifer Vogel, Online Programs Coordinator | University of Florida | ['Biology', 'Forestry', 'Agronomy', 'Ecology', 'Horticulture'] | Agroforestry III: Principles of Plant and Soil Management is a detailed review of fundamental principles and best practices for successful agroforestry projects through understanding plant and soil interactions. This interdisciplinary module, presented by leading experts in the field, is the third in the five-module course covering the various aspects of agroforestry including the global distribution of the practices, their underlying principles, and major scientific advances during the past nearly five decades. Students will gain extensive knowledge and skills related to agroforestry systems, best practices and scientific management that can be useful in promoting their professional development and sharpening their land management skills. Welcome to Agroforestry III: Principles of Plant and Soil Management, a detailed review of fundamental principles and best practices for successful agroforestry projects. This interdisciplinary module, presented by leading experts in the field, is the third in the five-module course covering the various aspects of agroforestry including the global distribution of the practices, their underlying principles, and major scientific advances during the past nearly five decades. Students will gain extensive knowledge and skills related to agroforestry systems, best practices and scientific management that can be useful in promoting their professional development and sharpening their land management skills. 2 readings1 assignment Fundamental principles for the management of agroforestry tree and crop species based on underlying eco-physiological mechanisms that impact productivity. 4 videos1 assignment Proper soil management based on understanding the nature and property of soils is critical to the success of any land-use system. 2 videos1 assignment | 3 modules | Intermediate level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/agroforestry3 | null |
6,540 | Google Cloud Customer Care Fundamentals | Enrollment number not found | Rating not found | null | Google Cloud Training | Google Cloud | [] | This course will teach you how to get the most out of Google Cloud Support. You will learn about the different support services provided by Google Cloud Customer care, how to create and manage support cases, how to view known issues affecting Google Cloud services, and how to communicate effectively with Support Engineers. You will also learn about the different case priorities and Service Level Objectives (SLOs), increase your understanding around case status, and how to escalate a support case if necessary. Introduce course and state learning objectives 1 video This module introduces the Standard, Enhanced, and Premium support options in the Customer Care portfolio in the first video. The second video discusses best practices for capturing a log file and then demonstrates how to do so with personal information removed. The final activity is a knowledge check. 2 videos1 assignment This module demonstrates how to file a support case at the appropriate priority level and explains how Customer Care works to resolve a ticket after it has been created and when it is appropriate to escalate a case. 3 videos1 assignment This module explains what happens after a solution has been identified by the Customer Care team in the first video, followed by a knowledge check. The final activity is a PDF listing Additional Resources about case priority, status, description, and other information not covered in the videos of this course. 1 video1 reading1 assignment | 4 modules | Beginner level | 1 hour to complete | https://www.coursera.org/learn/google-cloud-customer-care-fundamentals | null |
6,541 | Campaign Performance Reporting, Visualization, & Improvement | 1,889 | 4.6 | 16 | Unilever Team | Unilever | ['Multi-touch attribution', 'ANSOFF Matrix', 'Data storytelling', 'Assess ROI'] | The Campaign Performance Reporting, Visualization, and Improvement course explores the critical aspects of measuring, reporting, and enhancing campaign performance to achieve marketing excellence. After completing this course, you will be able to:
- Describe the value of data storytelling and list best practices for preparing visualizations.
- Identify popular visualization tools and advantages of each.
- Identify common market channel strategies.
- Describe the ANSOFF Matrix Model and choose a market strategy using ANSOFF Matrix.
- Identify what campaign structures impact ROI and common pitfalls to avoid.
- Assess and readjust ROI.
- Identify the steps to plan and implement market campaign analysis.
- Recognize the different models of multi-touch attribution and identify how to implement multi-touch attribution. In this module, you will learn about the value of data visualization and storytelling in a digital marketing analyst role, best practices for preparing visualizations, and considerations for accessing and utilizing data to support marketing endeavors. 10 videos8 readings8 assignments In this module, you will examine common marketing strategies and learn how to leverage data-driven insights to drive market strategies using frameworks like the ANSOFF Matrix. 7 videos3 readings8 assignments1 discussion prompt In this module, you will explore assessing and optimizing ROI based on SMART objectives and key performance indicators (KPIs). 9 videos9 readings9 assignments In this module, you will gain valuable insights into assessing campaign performance, conducting market campaign analysis, and implementing multi-touch attribution techniques. 10 videos9 readings7 assignments | 4 modules | Beginner level | 21 hours to complete (3 weeks at 7 hours a week) | https://www.coursera.org/learn/campaign-performance-reporting-visualization-improvement | null |
6,542 | Unordered Data Structures | 18,723 | 4.7 | 544 | Wade Fagen-Ulmschneider | University of Illinois Urbana-Champaign | [] | The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms. 7 videos5 readings3 assignments1 programming assignment 6 videos2 readings2 assignments 5 videos1 reading2 assignments1 programming assignment 11 videos1 reading2 assignments | 4 modules | null | 20 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/cs-fundamentals-3 | null |
6,543 | Active Optical Devices Specialization | 6,011 | 4.0 | 73 | Juliet Gopinath | University of Colorado Boulder | ['design detectors', 'analyze lasers and detectors', 'design lasers', 'design displays', 'design detectors', 'analyze lasers and detectors', 'design lasers', 'design displays'] | The courses in this specialization can also be taken for academic credit as ECEA 5605-5607, part of CU Boulder’s Master of Science in Electrical Engineering degree.Enroll hereOpens in a new tab. ThisActive Optical Devicesspecialization is designed to help you gain complete understanding of active optical devices by clearly defining and interconnecting the fundamental physical mechanisms, device design principles, and device performance. You will study and gain active experience with light emitting semiconductor devices like light emitting diodes and lasers, nanophotonics, optical detectors, and displays. Specialization Learning Outcomes: *Analyze and design semiconductor light sources, and surrounding optical systems *Analyze and design detection systems for LIDAR, microscopy and cameras *Analyze and design systems for optical device systems that can adapt to the environment at hand. *Use lasers and optical electronics in electronic systems through an understanding of the interaction of light and atoms, laser rate equations and noise in photo-detection. Applied Learning Project You will engage in active analysis and design tasks involving weekly homework problem sets. These sets challenge you to derive expressions and calculate values based on the design principles covered in the course materials and ongoing analysis performed by you. Design a semiconductor light emitting diode and analyze efficienc Design a semiconductor laser Choose suitable semiconductor materials for light emitting devices Use nanophotonic effects (low dimensional structures) to engineer lasers Apply low dimensional structures to photonic device design Select and design optical detector for given system and application Describe the basic principles underlying electroluminescent displays Describe the basic principles that drive display operation Explain the technology of electrowetting, e-ink, plasma, and LED displays | 3 course series | Advanced level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/active-optical-devices | null |
6,544 | Strategic Business Analytics Specialization | 36,175 | 4.4 | 758 | Arnaud De Bruyn | ESSEC Business School | ['Marketing Performance Measurement And Management', 'R Programming', 'Marketing Analytics', 'Presentation'] | This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts.We recommend that you have some background in statistics, R or another programming language,and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing. Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role.
You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering.
However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.
With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business.
We’ll pay special attention to how you can produce convincing, actionable, and efficient insights. We'll also present you with different data analytics tools to be applied to different types of issues.
By doing so, we’ll help you develop four sets of skills needed to leverage value from data: Analytics, IT, Business and Communication.
By the end of this MOOC, you should be able to approach a business issue using Analytics by (1) qualifying the issue at hand in quantitative terms, (2) conducting relevant data analyses, and (3) presenting your conclusions and recommendations in a business-oriented, actionable and efficient way.
Prerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering)
We give credit to Pauline Glikman, Albane Gaubert, Elias Abou Khalil-Lanvin (Students at ESSEC BUSINESS SCHOOL) for their contribution to this course design. Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role, in particular in marketing.
You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering.
However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.
Business Analytics, Big Data and Data Science are very hot topics today, and for good reasons. Companies are sitting on a treasure trove of data, but usually lack the skills and people to analyze and exploit that data efficiently. Those companies who develop the skills and hire the right people to analyze and exploit that data will have a clear competitive advantage.
It's especially true in one domain: marketing. About 90% of the data collected by companies today are related to customer actions and marketing activities.The domain of Marketing Analytics is absolutely huge, and may cover fancy topics such as text mining, social network analysis, sentiment analysis, real-time bidding, online campaign optimization, and so on.
But at the heart of marketing lie a few basic questions that often remain unanswered: (1) who are my customers, (2) which customers should I target and spend most of my marketing budget on, and (3) what's the future value of my customers so I can concentrate on those who will be worth the most to the company in the future.
That's exactly what this course will cover: segmentation is all about understanding your customers, scorings models are about targeting the right ones, and customer lifetime value is about anticipating their future value. These are the foundations of Marketing Analytics. And that's what you'll learn to do in this course. Who is this course for ? This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Instead, with this third MOOC, we provide you with different examples to open your mind to different applications from different industries and sectors.
The objective is to give you an helicopter overview on what's happening in this field. You will see how the tools presented in the two previous courses of the Specialization are used in real life projects.
We want to ignite your reflection process. Hence, you will best make use of the Accenture cases by watching first the MOOC and then investigate by yourself on the different concepts, industries, or challenges that are introduced during the videos.
At the end of this course learners will be able to:
- identify the possible applications of business analytics,
- hence, reflect on the possible solutions and added-value applications that could be proposed for their capstone project.
The cases will be presented by senior practitioners from Accenture with different backgrounds in term of industry, function, and country. Special attention will be paid to the "value case" of the issue raised to prepare you for the capstone project of the specialization.
About Accenture
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions—underpinned by the world’s largest delivery network—Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With more than 358,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com. The Capstone project is an individual assignment. Participants decide the theme they want to explore and define the issue they want to solve. Their “playing field” should provide data from various sectors (such as farming and nutrition, culture, economy and employment, Education & Research, International & Europe, Housing, Sustainable, Development & Energies, Health & Social, Society, Territories & Transport). Participants are encouraged to mix the different fields and leverage the existing information with other (properly sourced) open data sets.
Deliverable 1 is the preliminary preparation and problem qualification step. The objectives is to define the what, why & how. What issue do we want to solve? Why does it promise value for public authorities, companies, citizens? How do we want to explore the provided data?
For Deliverable 2, the participant needs to present the intermediary outputs and adjustments to the analysis framework. The objectives is to confirm the how and the relevancy of the first results.
Finally, with Deliverable 3, the participant needs to present the final outputs and the value case. The objective is to confirm the why. Why will it create value for public authorities, companies, and citizens.
Assessment and grading: the participants will present their results to their peers on a regular basis. An evaluation framework will be provided for the participants to assess the quality of each other’s deliverables. | 4 course series | Advanced level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/strategic-analytics | null |
6,545 | Reflections from 40 Years Fighting International Epidemics | Enrollment number not found | Rating not found | null | Daniel R. Lucey | Dartmouth College | ['Epidemiology', 'medical humanities', 'Public Health', 'epidemic analysis', 'pandemic policy'] | Reflections on patients, policies, pan-epidemics, prose and medical humanities from a 40-year career fighting epidemics around the world by an infectious disease public health physician. Examples include HIV/AIDS, Anthrax, SARS, MERS, H5N1 and H1N1 influenza, Nipah, Ebola (with MSF 2014), Zika, Plague (with WHO 2017) and COVID-19. Working side-by-side with international colleagues to provide hands-on patient care and to share stories is an expression of medical humanities. Dr. Lucey is the originator of the Smithsonian Museum Exhibit on Epidemics 2018-2022, an advocate of One Health, and author of 170 blogs on COVID and other new epidemics since January 2020 on the Science Speaks website of the Infectious Disease Society of America. One best career lesson is to “Anticipate, Recognize, Act” because “What’s next is already here, we just haven’t recognized it”. Reflections on patients, policies, pan-epidemics, prose and medical humanities from a 40-year career fighting epidemics around the world by an infectious disease public health physician. Examples include HIV/AIDS, Anthrax, SARS, MERS, H5N1 and H1N1 influenza, Nipah, Ebola (with MSF 2014), Zika, Plague (with WHO 2017) and COVID-19. Working side-by-side with international colleagues to provide hands-on patient care and to share stories is an expression of medical humanities.
Dr. Lucey is the originator of the Smithsonian Museum Exhibit on Epidemics 2018-2022, an advocate of One Health, and author of 170 blogs on COVID and other new epidemics since January 2020 on the Science Speaks website of the Infectious Disease Society of America. One best career lesson is to “Anticipate, Recognize, Act” because “What’s next is already here, we just haven’t recognized it”. 1 video Module One provides you with an introduction to the context and perspective of Dr. Lucey. He is a public health and infectious disease physician and epidemiologist who has helped fight epidemics around the world beginning in 1982 in San Francisco before the HIV virus was discovered but long after the virus discovered us. This module offers a chronology of his field experience in over 10 epidemics in 5 regions of the world. A Medical Humanities perspective is included using his own list of 40 one-phrase reflections on epidemics, distilled from 1982-2022, and the first of several narrative stories from the 2014 Ebola pan-epidemic in West Africa. These stories in module 1 and module 4 illustrate some of the 40 one-phrase reflections and their origins. A summary is also provided of the exhibit (2018-2022) proposed in 2014 by Dr. Lucey at the Smithsonian National Museum of Natural History on viral epidemics that originated in animals, using the “One Health” approach that integrates human, animal, and environmental health. 7 videos1 reading1 assignment1 discussion prompt Module Two provides six examples of epidemics that began months, years or decades before they were first recognized or their viral cause “discovered”. These include HIV-1 (< 1959-1983), Nipah (1998-1999), SARS (2002-2003), MERS (2012-2013), Ebola in Guinea (2013-2014), and Zika clusters of neurological diseases (2014-2016). The unifying theme of this module focusing on past epidemics is: “What’s next is already here, we just haven’t recognized it yet” (refection # 40 of 40). One key objective of this module is to lead the learner to ask what epidemics are already here today in the world, but have not yet been recognized or their cause “discovered”. 8 videos1 reading1 assignment1 discussion prompt Module Three focuses on the theme of “anticipate, recognize, act” to build on the previous module with its six past examples of epidemics that were not recognized quickly. Examples are provided of the process and policies whereby the World Health Organization (WHO) evaluates recently recognized epidemics to determine if they should be declared a “Public Health Emergency of International Concern" (PHEICS). Two examples of potential future epidemics and information that should be anticipated and that will be important on Day One (1) are presented. These examples, of the many potential ones, are (1) A Nipah virus epidemic outside south Asia and SE Asia where all past Nipah outbreaks have occurred (e.g., China, Africa, Europe, or the Americas); (2) A multidrug-resistant anthrax epidemic due to the Bacillus anthracis bacteria. In addition, links to over 10 additional outbreaks around the world that have occurred in 2020-2023 are provided in blogs written by the instructor on the “Science Speaks” website of the Infectious Disease Society of America (IDSA). Examples are analyzed from the contextual framework of “anticipate, recognize, act”. They include mpox (many nations), melioidosis (USA), Langya henipavirus (China), H5N8 avian influenza (Russia), unexplained pneumonia (Argentina), unexplained hepatitis (Europe and USA) and more. 9 videos1 reading1 assignment1 discussion prompt Module Four focuses on Medical Humanities and literature regarding both patients and healthcare providers. Several sources of such information include writings by Albert Schweitzer (“Reverence for Life”) Alexander Solzhenitsyn (“Cancer Ward”). In addition, some of the 40 reflections regarding both patients and healthcare worker colleagues from Liberia and the USA. Lastly, a general reference is made to an ongoing 2-volume ‘library collection’ of over 180 medical wisdom stories shared by alumni from the instructor’s Geisel School of Medicine at Dartmouth with its graduating medical students each year beginning in 2017. 7 videos1 reading1 assignment1 discussion prompt | 5 modules | Beginner level | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/40-years-fighting-international-epidemics-in-the-field | null |
6,546 | Fundamentals of Immunology Specialization | 43,467 | 4.8 | 1,770 | Alma Moon Novotny, Ph.D. | Rice University | ['Cancer', 'Immune Deficiency', 'Virus', 'Viral Strategies', 'Viral', 'Cancer', 'Immune Deficiency', 'Virus', 'Viral Strategies', 'Viral'] | This specialization is designed to equip students with the basic concepts and vocabulary of immunology. The goal is to provide students from different backgrounds with a fundamental understanding of immunology and the ability to appreciate and analyze new developments in immunological therapies designed for the treatment of disease. Applied Learning Project In the Fundamentals of Immunology Specialization, you will learn the basics of innate immunity, including complement, and its role in inflammation and activation of adaptive immunity. The development of B cells and the production and improvement of antibodies. The development of Th cells and their roles in promoting both immune responses and tolerance. The role of the Major Histocompatibility Proteins in alerting T cells and their role in the success of organ and tissue transplants. The mechanisms whereby cytotoxic T cells and natural kill cells recognize rogue-self cells and prod them into apoptosis. The principles of chemical communication among immune cells. Some example of how the immune system can cause problems and how we deal with these issues. Course 1 of a four course specialization called Fundamentals of Immunology: Innate Immunity and B-cell Function. Each course in the specialization presents material that builds on the previous course's material. This is the first leg of a four-part journey through the defenses your body uses to keep you healthy. In this part, we hope to give you the vocabulary and concepts you need to interact with the medical community and provide them with a context that makes them memorable.
Fundamentals of Immunology: Innate Immunity and B-cell Function introduces students to the basic functions of the adaptive and innate immune systems. The early lectures survey cells, tissues, and organs using metaphors, cartoons, and models to improve understanding and retention. After describing the form, function, origin, and varieties of antibodies, subsequent lectures provide details on the mechanism of the generation of variation. The course provides animations of gene rearrangement and class switching and descriptions of affinity maturation correlated with detailed physical models of antibody structure. The final lecture reviews these concepts in an anatomical context. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawings, and photographs used in the lecture and reproduced in the outline.
What You’ll Learn:
The difference between adaptive and innate immune systems, the characteristics of various pathogens that they protect you from, and the overall strategies employed in this protection. The detailed structure of antibodies and related immunoglobulin receptors, the characteristics and function of the different antibody classes, and the mechanism for producing both the recognition regions and stem regions. Finally, how these structures are coded for in the DNA and expressed in the B cells. Course 2 is a four-course specialization called Fundamentals of Immunology. Each course in the specialization presents material that builds on the previous course's material. This is the second half of the journey through the defenses your body uses to keep you healthy. In the first part we learned about innate immunity and B cell function. The second part covers T cell function and coordination of the immune response.
Fundamentals of Immunology: Complement, MHC I and II, T Cells, and Cytokines builds on the first course to describe the functions of Complement, MHC presentation to T cells, T cell development and signaling. The early lectures survey cells, tissues and organs using metaphors, cartoons and models to improve understanding and retention. This course includes the structure of both MHC proteins and T cell receptors and the sources of variation. The course provides animations of gene rearrangement, developmental processes and signal cascades. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawing and photographs used in lecture and reproduced in the outline.
What You’ll Learn:
How complement uses adaptive and innate triggers to target pathogens. The detailed structure and coding of MHC proteins and both alpha-beta and gamma delta receptors and how these proteins interact to initiate an adaptive immune response. The basics of signaling, and the varieties of external receipt and internal activation pathways. We bine the process of putting together how signals and crosstalk control the activity of the immune system. Course 3 of a four-course specialization called Fundamentals of Immunology. Each course in the specialization presents material that builds on the previous course's material. This is the third leg of the journey through the defenses your body uses to keep you healthy. We learned about innate immunity and B cell function in the first course. In the second course, we studied T cell function and coordination of the immune response.
Fundamentals of Immunology: Inflammation, Tolerance, and Autoimmunity introduces students to the basic functions of the adaptive and innate immune systems. The early lectures survey cells, tissues, and organs using metaphors, cartoons, and models to improve understanding and retention. After describing the form, function, origin, and varieties of antibodies, subsequent lectures provide details on the mechanism of the generation of variation. The course provides animations of gene rearrangement and class switching and descriptions of affinity maturation correlated with detailed physical models of antibody structure. The final lecture reviews these concepts in an anatomical context. Testing employs multiple choice questions testing facts, concepts, and application of principles. Questions may refer to diagrams, drawings, and photographs used in the lecture and reproduced in the outline.
What You’ll Learn:
A survey of immune cells and how they attack pathogens, emphasizing the mechanism of inducing apoptosis and details of Antibody Directed Cell-mediated Cytotoxicity. The inflammatory response and mechanisms of generating tolerance are presented sequentially to emphasize the decision-making in controlling attacks. A survey of autoimmune disease, its characteristics, cause, and treatment. Survey of hypersensitivity reactions, including allergy, anaphylaxis, anemias, granulomas, and various skin responses. This is accompanied by identification, prevention, and treatment. The final discussion of preventing transplant rejection is preceded by a detailed unit on antibody technology and the testing methods for incompatibility. Course four, Fundamentals of Immunology: Dueling with Pathogens and Cancer, covers the constant battle between your immune system and threats to your health. The first two lectures discuss viral and cellular pathogens, focusing on specific tactics they use to deflect immune attacks. Next, a cheerier lecture describes other immune-based therapies, beginning with engineered antibodies to treat specific diseases. This lecture continues with vaccine development (viral-engineered, killed, RNA-component vaccines, and more) and adjuvant function and ends with vaccination strategies, including herd immunity and resisting the anti-vaccination movement. The last two lectures cover immune deficiencies and how cancer evades the immune system, concluding with advances in using immune therapies (antibodies and CAR T cells) to cure cancer. | 4 course series | Intermediate level | 3 months (at 10 hours a week) | https://www.coursera.org/specializations/immunology | null |
6,547 | Clinical Epidemiology | 43,415 | 4.7 | 350 | Diederick E. Grobbee | Utrecht University | [] | Evidence forms the basis of modern medicine. Clinical research provides us with this evidence, guiding health professionals towards solutions to problems that they face in daily practice. Transferring existing problems in medical practice to a research setting is a challenging process that requires careful consideration. The practice of clinical epidemiology aims to address this through the application of established approaches for research in human populations, while at all times focussing on the problem at hand from a clinical perspective. This course teaches the principles and practice of clinical epidemiology, drawing on real problems faced by medical professionals and elaborating on existing examples of clinical research. Medical researchers will lean how to translate real clinical problems into tangible research questions for investigation, gaining insight into some of the most important considerations when designing an epidemiological study along the way.
Core concepts will be introduced along four key themes: diagnosis, prognosis, treatment and etiology. Followers of this course will develop their understanding of the topics addressed through lectures from experts, peer interaction and review assignments. Welcome! Here you will find general information about the course. The learning objectives, the structure, the format and the requirements of completion will be presented to you. 4 readings1 discussion prompt The course will kick off with a brief introduction to some of the key concepts in epidemiological research. We will warm up with two introductory lectures, followed by a small by assignment, before diving further into the field of epidemiology from a clinical context. 4 videos1 assignment1 peer review This week we begin at the start of the DEPTh model: Diagnosis and diagnostic research. Through a series of lectures, you will come across familiar challenges in the area of diagnosis and discover how these problems can be addressed by clinical research. 4 videos1 assignment2 peer reviews This week you will be introduced to the challenges of evidence-based prognostication: how can we best predict the course of a patient's health? You will learn this week how this kind of question can be addressed through epidemiological research, becoming familiar with how prognostic tools can be developed for use in guiding clinical decisions. 4 videos1 reading3 assignments In our final week of lectures, you will step into the world of intervention research, exploring the "Therapeutic" branch of the DEPTh model. We will focus on the study of intended and unintended effects, exploring a new kind of study design: the randomized controlled trial. 4 videos1 reading1 assignment The task this week is in the form of an online debate in which you will study an existing piece of clinical research and contribute to a discussion of this research, forming both an objective assessment and using that to develop your own opinions. 1 reading1 peer review2 discussion prompts This is final assessment in the course: a quiz of 30 multiple choice questions that aim to test how well you can apply the knowledge you have gained throughout the course. Good luck! 2 readings1 assignment1 discussion prompt | 7 modules | Intermediate level | null | https://www.coursera.org/learn/clinical-epidemiology | 98% |
6,548 | Data and Urban Governance | 3,672 | 4.6 | 41 | Antoine Courmont | Sciences Po | [] | Since the beginning of the 2000s, cities have witnessed a massive influx of data, transforming how cities are governed. Data has an impact on how city life is structured, as it influences coalitions, actors, instruments, policies, and forms of regulation. In this MOOC, we will look at this shift more closely: what has the advent of big data done to urban governance? Have platforms disrupted local authorities? How has big data changed local politics? How do we govern using algorithms? What is the place of citizens in the digital city? Is it still possible to be anonymous in the city?
At the end of this course, you will be able to navigate the landscape of urban governance in the digital era, including its myriad actors and instruments; to decipher what drives ongoing transformations in how local governments are structured and operate; to analyze the contemporary changes in municipal service markets; and to understand what is at stake in terms of the creation and implementation of public policies when data comes to town.
This MOOC is offered by the Digital Cities Chair of the Urban School of SciencesPo, funded by La Poste, RTE and the Caisse des Dépôts.
Videos are in creative commons license BY NC 8 videos7 readings1 assignment2 discussion prompts 5 videos8 readings1 assignment1 discussion prompt 5 videos9 readings1 assignment1 discussion prompt 4 videos10 readings1 assignment2 discussion prompts | 4 modules | Beginner level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/data-urban-governance | null |
6,549 | Electric Industry Operations and Markets | 49,007 | 4.8 | 1,348 | Lincoln Pratson | Duke University | [] | This is a two week course. In the first week you will learn about the core activities that the Industry executes to bring electricity to customers. We will review what electricity is, how it is generated, how it is transmitted, how it comes into buildings, and how consumption of electricity instantly feeds back on the transmission and generation of electricity. You will learn to: Define what electricity is;
Describe how electricity is generated, transmitted and distributed;
Describe how electricity is generated, transmitted and distributed; and
Summarize how the consumption of electric energy instantly feeds back on the transmission and generation of electricity.
In the second week, the course shifts to the markets that drive Electric Industry operations. You will learn about the various costs of the electric industry’s core activities, how electricity is priced, the various ways that electric markets are structured, how these market structures determine which power plants are dispatched to produce electricity when, and how recent changes in generator fuel prices, generation technology, market regulations, and environmental regulations are transforming both Electric Industry Markets and Operations. You will learn to:
Describe the main cost components to the electric system;
Compare the costs of different types of power plants;
Interpret the retail pricing of electricity;
Explain the different types of electric markets and understand how they operate to dispatch electric supply to meet demand in real time; and
Explain why and how the electric industry is regulated. In the operations module, you will learn about the core activities that the Industry executes to bring electricity to customers. We will review what electricity is, how it is generated, how it is transmitted, how it comes into buildings, and how consumption of electricity instantly feeds back on the transmission and generation of electricity. 15 videos4 assignments In this second module, the course shifts to the markets that drive Electric Industry operations. You will learn about the various costs of the electric industry’s core activities, how electricity is priced, the various ways that electric markets are structured, how these market structures determine which power plants are dispatched to produce electricity when, and how recent changes in generator fuel prices, generation technology, market regulations, and environmental regulations are transforming both Electric Industry Markets and Operations. 16 videos4 assignments1 peer review | 2 modules | Beginner level | null | https://www.coursera.org/learn/electricity | 98% |
6,550 | Supply Chain Logistics | 284,995 | 4.8 | 10,894 | Rudolf Leuschner, Ph.D. | Rutgers the State University of New Jersey | ['Warehouse Management', 'Logistics Planning', 'Supply Chain', 'Inventory'] | Have you ever wondered how goods get delivered to us so quickly as soon as we order them? One word: Logistics! In this introductory Supply Chain Logistics course, I will take you on a journey to this fascinating backbone of global trade. We cover the three major building blocks of logistics networks: transportation, warehousing, and inventory. After completing this course, you will be able to differentiate the advantages and disadvantages of different modes of transportation. You will understand what goes into designing and setting up a warehousing facility. Finally, you will be able to select the options that enable you to develop logistics networks, that minimize costs and deliver top customer service. This is an introductory course designed to provide you with a start on your learning journey in logistics. You do not need to have any background in logistics, but it would be beneficial if you had a basic understanding of business concepts. Join me and we will learn together about logistics! Interested in learning advanced supply chain topics? Check out the Supply Chain Excellence MasterTrack™ Certificate: https://www.coursera.org/mastertrack/supply-chain-excellence-rutgers Welcome to the exciting world of logistics! We are going to start by taking a look at transportation. But before we get there, I would like to introduce you to myself. We will cover the different modes of transportation: motor freight, air freight, intermodal, and express delivery. After completing this module, you'll be able to weigh the benefits and drawbacks of different transportation modes. Furthermore, you will demonstrate how transportation systems use different modes to facilitate the efficient movement of goods from origin to destination. Lastly, you will be able to recognize what transportation modes were used by a shipping company just by looking at the tracking statement. 7 videos9 readings2 assignments1 peer review5 discussion prompts This module introduces you to warehousing and inventory management. After completing this module, you will be able to design your of warehousing facility. You will also understand the different types of inventory and why they are important to ensure customers can find the products they are looking for. 4 videos1 reading1 assignment1 peer review3 discussion prompts This module builds on the previously covered building blocks of logistics networks and reviews the implications of putting together a logistics network. After completing this module, you will be ready to tackle the final exam and able to design your own logistics network and understand the implications of logistics decisions on the overall satisfaction of our customers. 3 videos1 reading1 assignment2 discussion prompts This module builds on the previously covered transportation, warehousing, and inventory. You will be able to appreciate the implications of putting together a logistics network. Furthermore, you will put all of the things into practice that we covered in the previous weeks. After completing this module, you will have shown that you master the basics of logistics and are able to design your own logistics network. 1 reading1 peer review | 4 modules | Beginner level | null | https://www.coursera.org/learn/supply-chain-logistics | 95% |
6,551 | Trade & investment: evidence-based policies for development | 3,276 | 4.8 | 12 | Peter A.G. van Bergeijk | Erasmus University Rotterdam | ['Trading', 'Investment', 'Market (Economics)'] | This MOOC prepares students that want to analyse trade and investment policies of developing countries and emerging markets. We couch you for the task of giving evidence-based policy. For students interested in policy advise the course brings a sound understanding of what can and what cannot be done with well-established theories and state-of-the-art research. For students interested in research the asset of this course is to learn how to effectively communicate research findings in a policy setting. Upon completion, you will have a good understanding of international trade and investment theories and recent developments in the world economy and their consequence on issues related to developing countries and emerging markets. You will be able to analyse the determinants of trade and investment, to measure the impact of trade and investment and to provide evidence-based policy advice that fits development strategies in emerging markets and developing economies. After the first week (5 video lectures), you will understand key concepts and theories of international trade and foreign direct investment (FDI) and describe recent trends in the world economy. With the debate over (de)globalization and development as our starting point, we analyze how (changes in) the economic context drive the formulation of new trade theories. We will discuss both mainstream and a selection of heterodox approaches. We explore concepts and theories related to FDI, provide an overview of FDI effects for host countries and discuss theories explaining investment activities across national boundaries. 5 videos7 readings1 assignment1 discussion prompt After the second week (4 video lectures) you will be able to identify national policies aimed at either stimulating or restricting international trade and investment. We discuss policies and instruments against the background of recent developments and provide context to the importance of negotiations and treaties that deal with policy instruments. You will be able to analyse where the use of bilateral economic diplomacy in state-to-state relationships can help to assist domestic companies as encounter difficulties abroad and where the contribution of economic diplomats is limited 4 videos4 readings1 assignment After the third block (3 video lectures) you will understand the nature of internationalization, heterogeneity, and development from a micro-economic perspective. We will discuss productivity development of firms and their decision to export and import and deal with access to detailed and reliable micro-economic data sets. You will understand the microeconomic underpinnings of globalization and productivity and the process of measuring productivity development and firm heterogeneity. You will also be able to evaluate the relationship between productivity and international trade and FDI and understand the relevance of heterogeneity across firms and their productivity development and interpret their results. 3 videos3 readings1 assignment After the fourth block (4 video lectures) you will understand analytical tools and gravity modelling dealing with evaluation of trade and/or investment policies. The Block starts with Balassa’s index of revealed comparative advantage, the Herfindahl Hirschman concentration index, and the Grubel Lloyd index that measures intra-industry trade. You will be able to apply these indicators and relate them to real-world trade issues. Next, we discuss the historical development of the gravity model, which was originally developed in the Netherlands. Finally, you will be able to evaluate challenges and propose solutions to obtain reliable estimates of gravity modelling. Building on solutions proposed to avoid empirical gravity estimation biases, you will experience and experiment with evaluations of trade policies, dealing with time and cost of border documentation and processing for exporting and importing. 4 videos4 readings1 assignment The fifth week (3 video lectures) prepares you for actually writing a policy paper that is both accessible to policy makers, and evidence-based. We start with an overview of controversies regarding international trade and investment because policy advice needs to take a holistic view and a policy paper cannot be sound when only the benefits of considered measures are discussed. You will learn the five do’s of giving advice and how to effectively inform policy makers of scientific findings regarding trade and investment. 3 videos2 readings1 peer review | 5 modules | Intermediate level | 17 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/trade-and-investment-policies-for-development | null |
6,552 | AI and Disaster Management | 5,315 | 4.8 | 77 | Robert Monarch | DeepLearning.AI | ['Topic Model', 'Computer Vision', 'Damage Assessment', 'AI for Good project framework', 'Natural Language Processing'] | In this course, you will be introduced to the four phases of the disaster management cycle; mitigation, preparation, response, and recovery. You’ll work through two case studies in this course. In the first, you will use computer vision to analyze satellite imagery from Hurricane Harvey in 2017 to identify damage in affected areas. In the second, you will use natural language processing techniques to explore trends in aid requests in the aftermath of the 2010 earthquake in Haiti. 13 videos4 readings1 assignment 11 videos3 readings1 assignment3 ungraded labs 12 videos3 readings1 assignment3 ungraded labs | 3 modules | Beginner level | 11 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/ai-and-disaster-management | null |
6,553 | Marketing Strategy Specialization | 67,263 | 4.4 | 3,643 | Ignacio Gafo | IE Business School | ['Marketing Plan', 'Market Research', 'Positioning (Marketing)', 'Value Proposition'] | Do you hear the word “marketing” on a daily basis, but aren’t sure what marketing really is or why your business needs it? Do you know that marketing is important to your company, product, or service, but aren’t sure where to start? Cover the concepts and tools you need to successfully develop a marketing strategy for a business, product or service. Begin by understanding consumers and the main market research techniques, then learn how to correctly segment, target and position your product to achieve success. Continue by analyzing the four critical areas in marketing, the famous four Ps of Product, Price, Promotion and Place. Finally, get the backing your ideas deserve and communicate the actions through a Marketing Plan. In the final capstone project you will develop a Marketing Plan for a product or service. Conduct marketing research, interpret the findings, understand consumer behavior, and use this knowledge to develop effective marketing strategies Positioning is the heart of any Marketing Strategy, the core that you must get right. It does not matter whether you start with a clearly defined target group or with a differential value proposition: you will need end up with a clear segment or segments upon which we build our Marketing Plan. In this course - the second in our Marketing Strategy Specialization - IE professor Ignacio Gafo will guide you through the essential stages of this key marketing process, starting with the basic elements that you will require and deciding on the market segmentation and marketing. The course progresses to examine the key market trends that you will encounter and will provide you with a handy practical toolbox of skills.
The course features interviews with industry professionals as well as on location videos where we quiz members of the public on their attitude towards this key concept. After this course you will be in no doubt of where to position your product and which segment you are going to attempt to attract. Marketing Mix Fundamentals prepares you for arguably the most important stage of bring your product to market - how and where are you going to market it? It sets out a detailed introduction to the four P’s of Marketing (Product, Pricing, Place and Promotion), this course forces you to strategically analyze your product and/or service. The Product session is designed to provide you with the knowledge to understand and manage the strategic role of brands and products in generating business results, whilst the focus on Pricing will cover the main concepts and techniques to formulate prices. Compliment this with skills from the “P” session Place, where you consider channels and retail strategies with the overriding objective of defining a distribution strategy for your product or service. Finally, through the Promotional activities (Communication) session, explore the different communication channels available and understand the importance of the media plan, dealing specifically with social media and omni-channel strategy.
IE Professors Maria Teresa Aranzabal and Fernando Cortiñas will guide you through this incredibly important stage of marketing strategy using expert interviews with industry professionals. After this course you will be ready to decide where and how you want to market your product. Create your own Marketing Plan for your own product or service idea. In this course you will learn how to produce arguably the most important marketing tool for any business. Rather than simply learning the stages of The Marketing Plan, you will be asked each week to complete a peer graded assignment which will help you complete a simplified version of the plan. You will be required either to map the four crucial stages for your own product or service idea or use the Nissan Leaf case study (attached in the additional readings) in order to produce a professional example. Ramon Diaz Bernardo - a professor with over 20 years experience - will guide you through the four most important stages of The Marketing Plan: analysis, marketing strategy; the marketing mix and expected results. On this journey, he will conduct interviews with leading experts from international companies in marketing as well as invite students to join him for explanations and discussions.
This excellent and unique course allows you not only to learn the essential parts of The Marketing Plan but also map out the future of your own business and take the first steps on the path to launching your own product. The Capstone Project will require you to take the knowledge you’ve acquired throughout this specialization and put it into practice. Each week is divided into the different components of the Marketing Strategy: Market Analysis, Marketing Strategy, Marketing Mix Implementation and Expected Results. Review each week’s theory and concrete the takeaways with quizzes aimed at reinforcement of the concepts. After reviewing the material learned you will be asked to analyse the case study: ¨Hotel Ipsum: A Marketing and Commercial Strategy to Survive.¨ Now it’s time to put what you’ve learned to the test! Hotel Ipsum’s General Manager, Rafael Escobedo, is faced with a dilemma: Despite his hotel doing fairly well in terms of sales and profitability, Rafael’s Board of Directors are not satisfied and are demanding an improvement in results. Now it’s up to you to create Rafael’s Marketing Strategy. The outcome could mean one of two things: praise from his Board of Directors…or unemployment!
Along with the Capstone are discussion forums, quizzes and peer reviews to aid you in your understanding of the theory given throughout this Specialization. Share your thoughts, ideas and debate with other like-minded learners from all over the globe with the same interest in expanding their marketing knowledge. | 5 course series | Beginner level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/marketing-strategy | null |
6,554 | Programming in C++: A Hands-on Introduction Specialization | 34,437 | 4.6 | 1,033 | Elise Deitrick | Codio | ['Computer Science', 'Computer Programming', 'C++', 'Object-Oriented Programming (OOP)', 'Computer Science', 'Computer Programming', 'C++', 'Object-Oriented Programming (OOP)'] | This specialization is intended for people without programming experience who seek to develop C++ programming skills and learn about the underlying computer science concepts that will allow them to pick up other programming languages quickly. In these four courses, you will cover everything from fundamentals to object-oriented design. These topics will help prepare you to write anything from small programs to automate repetitive tasks to larger applications, giving you enough understanding of C++ to tackle more specialized topics such as Data Science and Artificial Intelligence. Applied Learning Project Learners will create a variety of practical projects including helpful C++ programs that can speed up everyday tasks such as an automated file updater. Later projects will create graphical output using the Clmg library, and even including animations. Use variables and operators to store and manipulate small pieces of data Automate decision making using selection statements so the program result differs based on data Repeat sections of your program using the appropriate loop type Store and manipulate vectors of data Compare and manipulate strings of text Read and write to text and CSV files Define and use custom functions to improve code readability When and how to use recursion instead of iteration Create and modify custom objects How to architect larger programs using object-oriented principles Re-use parts of classes using inheritance Encapsulate relevant information and methods in a class | 4 course series | Beginner level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/hands-on-cpp | null |
6,555 | The Changing Landscape of Ancient Rome. Archaeology and History of the Palatine Hill | 14,968 | 4.3 | 309 | Paolo Carafa | Sapienza University of Rome | [] | Studying ancient - as well as medieval or modern - cities basically means telling local urban stories based on the reconstruction of changing landscapes through the centuries. Given the fragmentary nature of archaeological evidence, it is necessary to create new images that would give back the physical aspect of the urban landscape and that would bring it to life again. We are not just content with analyzing the many elements still visible of the ancient city. The connections between objects and architectures, visible and non visible buildings, which have been broken through time have to be rejoined, to acknowledge the elements that compose the urban landscape. Landscape and its content are a very relevant and still vital part of any national cultural heritage. The course will introduce students to the way we have been reflecting on over the last twenty years and still are engaged with the study of the past of our cities, beginning from the most complex case in the ancient Mediterranean World: the core of Italy and of Roman Empire. On the other hand, knowledge means also preservation and defense of material remains and cultural memory.
“The Changing Landscape of Ancient Rome. Archeology and History of the Palatine Hill” presents to a large public the topographical lay-out of the most relevant part of the city (according the Greek and Roman Historians Rome was founded on the Palatine). Research developed on the Palatine since the end of last century by the team of Sapienza Classical Archaeologists opened a new phase in the urban archaeological investigation and in the scientific debate about the relation between archaeological features and literary tradition as well as the “correct use“ of both kind of evidence, key issues of wide archaeological and historical significance. As a welcome module, the course will start discussing how we can move back through time and space to draw an updated archeological chart of the Palatine, to be integrated when possible with missing or lost part of the ancient overall framework, in order to be turned into the basic tool for describing diachronically architectural and topographical continuity and discontinuity. This aiming at the reconstructions of sequences of facts and at a historical reconstruction tout-court.
By the end of this module you will able to:
- classify archaeological evidence
- draw an archaeological chart
- try to integrate missing part of buildings/monuments if possible 8 videos1 assignment The whole story of city parts begins before the foundation of the city itself. In this module we will discuss how archaeological evidence and roman cultural memory allow to envision the faster and faster development from a number of dispersed peer communities to unified settlement, anticipating and somehow preparing the birth of the City.
By the end of this module you will able to:
- identify central Italian Bronze and Iron Age artifacts
- define and identify pre- and proto-urban topographical and social organization
- try to compare archaeological features and literary tradition 4 videos1 assignment April 21st year 753 before common era. This is the day when the Romans believed their city had been founded. And they were probably right. According to the Roman foundation legend, a prince born in Alba Longa by a god and the young king’s daughter - Romulus - founded the city. He celebrated an elaborated rite on the Palatine, killed his twin brother - Remus - encircled the Palatine with a sacred wall, gave the Romans a constitution and reigned over the new born city for 37 years. Thanks to the results of our recent archaeological excavations we know now that the core of the legend is true. By the end of this module you will able to: - discuss present state of scientific debate about the birth of the city in Central Italy - define and identify urban political organizations - identify Late Iron Age and Early Archaic artifacts and building techniques. 4 videos1 assignment Just one hundred and fifty years after the foundation, huts and pebble streets were substituted by more substantial buildings and paved streets. On and around the Palatine, as well as in other districts of the city, Houses and temples resting on squared blocks foundations and covered by roofs made of clay tiles replaced huts. Streets were paved by rock slabs and new drains allowed to keep lower areas dry, even during flooding winter seasons. In year 509 before common era, the king was sent into exile and two young aristocrats declared themselves first annual magistrates of a new State: the Roman Republic. From the 5th to the end of the 3rd century before common era, Rome had to fight to survive and the urban lay-out of the hill is not altered by relevant changes.
By the end of this module you will able to:
- discuss major changes occurred between the late archaic period, early- and mid- republican phases in Rome
- define and identify a certain number of Roman monuments and/or places
- identify Late Archaic and early/middle Repubblican artifacts, decorations and building techniques 4 videos1 assignment In the course of nearly three hundred years – from 509 till 202 b.c.e. - central, southern and northern Italy were conquered by the Romans and included into the Roman political organization as submitted or allied territories. Later on, year 146 b.c.e. was the real turning point. Greece became a Roman Province. Carthage – a city in north Africa, Rome’s enemy number one – was destroyed. The Mediterranean sea was roman: Mare nostrum, they called it: “Our Sea”. The republican political system was still working but this was, in fact, the beginning of a new Empire. The luxurious residences of the most eminent civil and political actors - nobles, knights, senators, magistrates and so forth - were on the Palatine, “the most beautiful part of the City”.
By the end of this module you will able to:
discuss major changes occurred during the Late Republican phase in Rome
define and identify a certain number of Roman monuments and/or places
identify Late Repubblican artifacts, decorations and building techniques 4 videos1 assignment Year 31 b.c.e. After nearly fifty year of Civil Wars, a 32 years old man, son of a sister of Julius Caesar, defeated his last enemy. Few years later - 27 and 23 b.c.e. – Roman Senators assigned him an immense power, asking him to watch over a new era of peace and respect for Roman laws and ancient traditions. They called him Augustus, a word meaning “blessed by Jupiter the king of the Gods”. The nephew of Julius Caesar became the first Emperor of Rome, and choose the Palatine as his own residing place.
By the end of this module you will able to:
- discuss major changes occurred between Late Republican phase and Augustan age in Rome
- define and identify a certain number of Roman monuments and/or places
- identify Augustan artifacts, decorations and building techniques 4 videos1 assignment Imperial Rome was much more like a contemporary metropolis than we can imagine. Urban landscape, in particular on and around the Palatine, was crowded by: luxury residences and, first among them, the Imperial Palace on the Palatine; buildings for spectacles; baths: buildings for leisure and culture; temples and cult places for traditional gods and for new gods, that is the deified emperors; blocks of multiple storey buildings. This is how Rome should have looked like when poets and writers called her the “Golden City” (Aurea Roma).
By the end of this module you will able to:
- discuss major changes occurred during Early Imperial period in Rome
- define and identify a certain number of Roman monuments and/or places
- identify Early Imperial artifacts, decorations and building techniques 4 videos1 assignment The embellishment of the city went on for a little further. At the beginning of the 4th century, Constantine the Great, first Christian Emperor, restored the imperial palace on the Palatine and also offered in different parts of the city monumental churches to the “new” God of the “new” Faith. The “Golden Rome”, even if wounded and besieged by the so-called “Barbarian People” pressing from East Europe and Middle East, still preserved her splendor.
476 A.D.: The German King Odoacre dethrones the last Roman Emperor, Romulus Augustus. 535 A.D.: Justinianus Emperor of Byzantium – once the capital of the eastern part of the Roman Empire - send a fleet and an army to Italy in order to “free Rome from the Barbarians”. 552 A.D.: 27 years later. War is over at last and the generals sent by Justinianus conquer Rome. But less than one thousand people lived in the urban area. Small churches, huts, small herb and vegetables gardens, tombs were scattered here and there in the vast area of the nearly empty city, between the skeletons of the ancient ruined buildings.
By the end of this module you will able to:
- discuss major changes occurred during Middle and Late Imperial period in Rome
- define and identify a certain number of Roman monuments and/or places
- identify Middle and Late Imperial artifacts, decorations and building techniques. 4 videos1 assignment | 8 modules | Beginner level | null | https://www.coursera.org/learn/palatine-hill-archaeology-history | 95% |
6,556 | The Economics of Agro-Food Value Chains | 21,421 | 4.5 | 435 | Chenguang Li | Technical University of Munich (TUM) | [] | Have a look at our trailer for a brief introduction to this course: https://youtu.be/GADAgxTHjgE In this course, you learn how the agro-food value chain approaches the challenge of constantly improving its competitiveness by producing high quality food and products and also aiming to attain greater sustainability. Some of the topics of this course are:
• The notion of quality for food and agricultural products and consumer value.
• How to conduct market research in this field.
• Labelling, branding and pricing strategies, as-well as innovation in the agro-food sector.
• How sustainability can be used as a competitive advantage through corporate social responsibility.
• The role and different types of industrial standards.
• The different forms of coordination in the chain, in particular with regard to the retailing and distribution sector.
This course is taught by a group of international experts from Universities in Italy, Germany, Ireland, Scotland and the Netherlands. Each of them will give you insights into a specific topic related to food quality and the organization of the agro-food value chains. This module will give you an introduction and overview of the course. In the second lesson of this module, we will talk about the current challenges and trends in the agro-food value chain. In the third lesson of this module, the concept of quality in the agro-food value chain will be introduced. The module finishes with the fourth lesson, which gives you an overview of the food value chain. 4 videos4 assignments In this module you will learn about the relationship between quality and consumer value. After the module you will be able to describe consumer choices in a differentiated market and explain the link between quality and value. You will also learn about strategies for building consumer value. 5 videos5 assignments In Module 3 you will learn about market research. After the module you will know the definition, role and types of market research in addition to the research process and the ethics of market research. In the second lesson of the module you will learn about the different types of data and various methods of data collection. The last lesson of the module then deals with data analysis, where you will learn about the most commonly used statistical and econometric techniques to analyze data. 3 videos3 assignments In Module 4 you will learn about asymmetric information with regard to food quality. In the first lesson of the module we will introduce the concepts of asymmetric information, adverse selection, moral hazard, and market failure. That way you will be able to explain the role of information for the functioning of a market. In the second lesson we will talk about the product attributes and their classification. After the lesson you will be able to classify product attributes based on when consumers are able to assess their true qualities. 5 videos5 assignments In Module 5 you will be introduced to “Food Labeling”. In this module you will learn how labels can work as a tool to solve market failures due to asymmetric information and hear about reputation mechanisms based on trust and signaling. 4 videos4 assignments In Module 6 we will talk about the effect of price as a signal for quality. The module also includes the implication of consumer psychology and quality perceptions on pricing tactics.
At the end of this module 3 videos3 assignments In module 7 you will learn about consumer behavior and the dimension and use of brand personalities. In the first lesson you will learn about the consumer's purchasing process. In the 2nd lesson we will talk about consumer characteristics. Finally, you will hear about segmentation, positioning, and brand personality. 3 videos3 assignments This module is about “Geographical Indicators”. After the module you will be able to explain the notion of “Geographical Indication” and the key facts about the protection of GIs in the EU. You will also be able to explain the importance of the GI sector within the EU market. 3 videos3 assignments In this module you will learn about innovation and quality. You will be able to define what is innovation and state the differences between the many types of innovations. You will also be able to explain how innovations are generated and how the drivers and barriers of innovation in the agro-food sector arise. 3 videos3 assignments In this module we will talk about the use of modern technology in Agriculture: Agriculture 4.0 and “Corporate Social Responsibility in the Agro-food Sector and its Relevance for Food Companies." 4 videos4 assignments In this module you will learn about the coordination continuum, when coordination is profitable and possible incentive conflicts. 8 videos8 assignments In this module you will learn about the modern retail sector and its procurement contracts, the issues around shelf allocation and supplier selection. 6 videos6 assignments In this module you will learn about vertical coordination and its relation to transaction costs and quality. You will also learn about standards, meta-standards and meta-systems. The module ends with examples of food quality standards. 5 videos5 assignments 1 assignment | 14 modules | Intermediate level | null | https://www.coursera.org/learn/valuechains | 90% |
6,557 | Health Across the Gender Spectrum | 37,658 | 4.8 | 2,181 | Maya Adam, MD | Stanford University | ['Mental Health Education', 'Patient Care', 'Public Health', 'Medicine'] | This course offers an intimate, story-based introduction to the experiences of six transgender children and their families. Through illustrated stories and short teaching videos, learners will gain a better understanding of gender identity and the gender spectrum. Stanford physicians, K-12 educators, and transgender faculty members offer practical tips for parents, teachers, healthcare providers and anyone who wants to help create a more gender-expansive environment - one in which all people can live authentically. As a global community of unique individuals, we can begin to build a world that is ready to nurture and love each and every child. Due to the sensitive nature of the story-based course content, we have chosen not to offer course certificates for this course. Simply put, we feel that the thoughts, ideas and sentiments of these remarkable children and their families... are priceless. We are confident that, like us, you will end up learning more from them than you could ever imagine. Together, we can lay a stronger foundation for all children. Join us as we explore health, across the gender spectrum.
Additional note: When submitting answers to quizzes, you may be asked to enter your "full legal name". This feature is primarily for verification purposes for courses that offer a certificate on Coursera, so it does not really apply to this course. We recognize that, for some individuals the name they use does not match the one on their legal documents. Please feel free to enter the name you normally use in these boxes. In module one, we will begin to hear some of the real-life experiences of transgender children, their friends and families. We will gain a better understanding of terms like: gender identity, sex assigned at birth and sexual orientation as well as understanding how these characteristics differ from one another. By the end of this module, learners be more familiar with what it means to be transgender and what it means to have a non-binary gender identity. 6 videos3 assignments1 discussion prompt In this module, we will explore some of the gender affirming management options available to support the health of transgender children across their lifespan, including the potential benefits of delaying puberty in transgender adolescents. We will examine the medical classification of transgender and take a closer look at how the diagnosis has changed over time as well as the arguments for and against the need for a medical diagnosis. 6 videos4 assignments3 discussion prompts In this module, we will explore some of the concrete steps that healthcare providers, teachers and parents can take to make their clinics, schools and homes more gender inclusive. We will discuss the importance of making basic facilities such as restrooms accessible to all children and we will explore the adverse consequences that can occur when children do not feel safe using public restrooms. We will also discuss the negative health outcomes associated with lack of familial and societal support for the transgender child. 7 videos4 assignments3 discussion prompts | 3 modules | Beginner level | null | https://www.coursera.org/learn/health-gender-spectrum | 98% |
6,558 | Molecular Evolution (Bioinformatics IV) | 16,886 | 4.5 | 77 | Pavel Pevzner | University of California San Diego | [] | In the previous course in the Specialization, we learned how to compare genes, proteins, and genomes. One way we can use these methods is in order to construct a "Tree of Life" showing how a large collection of related organisms have evolved over time. In the first half of the course, we will discuss approaches for evolutionary tree construction that have been the subject of some of the most cited scientific papers of all time, and show how they can resolve quandaries from finding the origin of a deadly virus to locating the birthplace of modern humans.
In the second half of the course, we will shift gears and examine the old claim that birds evolved from dinosaurs. How can we prove this? In particular, we will examine a result that claimed that peptides harvested from a T. rex fossil closely matched peptides found in chickens. In particular, we will use methods from computational proteomics to ask how we could assess whether this result is valid or due to some form of contamination.
Finally, you will learn how to apply popular bioinformatics software tools to reconstruct an evolutionary tree of ebolaviruses and identify the source of the recent Ebola epidemic that caused global headlines. <p>Welcome to our class!</p><p>In this class, we will consider the following two central biological questions (the computational approaches needed to solve them are shown in parentheses):</p><ol><li>Weeks 1-3: Which Animal Gave Us SARS? (<i>Evolutionary tree construction</i>)</li><li>Weeks 4-5: Was <em>T. rex</em> Just a Big Chicken? (<em>Combinatorial Algorithms</em>)</li></ol><p>In Week 6, you will complete a Bioinformatics Application Challenge to apply evolutionary tree construction algorithms in order to determine the origin of the recent ebola outbreak in Africa.</p><p>As in previous courses, each of these two chapters is accompanied by a Bioinformatics Cartoon created by talented artist Randall Christopher and serving as a chapter header in the Specialization's bestselling <a href="http://bioinformaticsalgorithms.com" target="_blank">print companion</a>. You can find the first chapter's cartoon at the bottom of this message. What do stick bugs and bats have to do with deadly viruses? And how can bioinformatics be used to stop these viruses in their tracks? Start learning today and find out!</p><p><img src="http://bioinformaticsalgorithms.com/images/cover/evolution_cropped.jpg" title="Image: http://bioinformaticsalgorithms.com/images/cover/evolution_cropped.jpg" width="528"></p> 5 videos2 readings1 assignment2 app items <p>Welcome to Week 2 of class!</p>
<p>Last week, we started to see how evolutionary trees can be constructed from distance matrices. This week, we will encounter additional algorithms for this purpose, including the neighbor-joining algorithm, which has become one of the top-ten most cited papers in all of science since its introduction three decades ago.</p> 3 videos1 reading1 assignment2 app items <p>Welcome to week 3 of class!</p>
<p>Over the last two weeks, we have seen several different algorithms for constructing evolutionary trees from distance matrices.</p>
<p>This week, we will conclude the current chapter by considering what happens if we use properties called "characters" instead of distances. We will also see how to infer the ancestral states of organisms in an evolutionary tree, and consider whether it is possible to define an efficient algorithm for this task.</p> 4 videos1 reading1 assignment2 app items <p>Welcome to week 4 of the class!</p>
<p>Did birds evolve from dinosaurs? Over the next two weeks, we will see how we could analyze molecular evidence in support of this theory. You can find this week's Bioinformatics Cartoon from Randall Christopher at the bottom of this E-mail. Why does the <em>T. rex </em>look so much like a chicken? And why is the monkey typing frantically? Keep learning to find out!</p>
<p><img src="http://bioinformaticsalgorithms.com/images/cover/proteomics_cropped.jpg" title="Image: http://bioinformaticsalgorithms.com/images/cover/proteomics_cropped.jpg" width="528"></p> 4 videos1 assignment2 app items <p>Welcome to week 5 of class!</p>
<p>Last week, we asked whether it is possible for dinosaur peptides to survive locked inside of a fossil for 65 million years. This week, we will see what this question has to do with statistics; in the process, we will see how a monkey typing out symbols on a typewriter can be used to address it.</p> 5 videos1 assignment2 app items <p>Welcome to the sixth and final week of the course!</p>
<p>In this week's Bioinformatics Application Challenge, we will use reconstruct an evolutionary tree of ebolaviruses and use it to determine the origin of the pathogen that caused the recent outbreak in Africa.</p> 1 peer review | 6 modules | Intermediate level | 18 hours to complete (3 weeks at 6 hours a week) | https://www.coursera.org/learn/molecular-evolution | null |
6,559 | Data Analysis in Python | Enrollment number not found | Rating not found | null | Sharon Jason | Codio | [] | Code and run your first Python script in minutes without installing anything! This course is designed for learners with no coding experience. It provides a crash course in Python, enabling the learners to delve into core data analysis topics that can be transferred to other languages. This course will teach you how to import and organize your data, use functions to gather descriptive statistics and perform statistical tests.
Experience a truly hands-on, self-paced learning journey with our unique video-free course structure.
Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from various assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill-in-the-blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours.
Finally, a longer-form lab at the end of the course will allow you to apply all learned concepts within a real-world context. Welcome to Week 1 of the Data Analysis in Python course. These assignments cover introductory topics such as Printing and Sorting, Data Types, and Statistical Functions. 5 readings4 app items Welcome to Week 2 of the Data Analysis in Python course. These assignments cover logical operators, importing a data frame, and selecting data. The module ends with graded summative assessments. 5 readings4 app items Welcome to Week 3 of the Data Analysis in Python course. These assignments cover conditionals, handling incomplete data sets, and merges and joins. The module ends with graded summative assessments. 5 readings4 app items Welcome to Week 4 of the Data Analysis in Python course. These assignments cover Comparison tests, importing a data frame, and selecting data. The module ends with graded summative assessments. 5 readings4 app items Welcome to Week 5 of the Data Analysis in Python course. This lab covers the material from the first four weeks of this course. 1 app item | 5 modules | null | 17 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/codio-data-analysis-in-python | null |
6,560 | Fundamentals of International Business | 5,781 | 4.6 | 64 | Mariya Eranova | University of London | [] | Studying international business is essential for everyone who wants to be a well-rounded modern individual. Understanding the main features of the international business environment, mechanisms of cross-border business activities, and motivations to engage in these activities, will help you to make sense of contemporary business context and navigate yourself in our complex world. This MOOC provides essential knowledge about international business, its key actors and recent trends. It combines relevant theoretical frameworks with contemporary business cases and practitioner-oriented learning materials. Students will be able to familiarise themselves with such concepts as globalization, internationalisation, multinationals and institutions, and see how they relate to each other, as well as draw implications to current business practices. This week introduces the subject of international business, the key terms that we will use throughout this MOOC and the topics that will be discussed each week. It also provides an overview of one of the main concepts in international business – globalisation. 5 videos3 readings1 assignment2 discussion prompts This week discusses how and why firms internationalise. We will look at one of the main manifestations of globalisation -- foreign direct investment (FDI) and compare it with other methods of internationalisation. 2 videos7 readings1 peer review This week introduces the concept of institutions and how they influence cross-border activities. It offers insights into the main differences in political, and cultural systems across the globe. 3 videos6 readings1 assignment3 discussion prompts The purpose of this week is to deepen your knowledge of multinational enterprises. It will provide more insights regarding the context of their operations, main choices faced by multinationals, and the main impacts they have on the society and environment. 2 videos5 readings1 assignment2 discussion prompts | 4 modules | Beginner level | null | https://www.coursera.org/learn/fundamentals-of-international-business | null |
6,561 | HPE Aruba Networking Mobility Basics | 2,766 | 4.9 | 29 | HPE Aruba Education Services | HPE Aruba Networking | ['Wireless Network', 'WLAN Architecture', 'W-Fi Standards', 'Radio Frequency (RF)'] | In Aruba Mobility Basics, you will learn how Radio Frequency (RF) works! You will compare the differences between a wired and a wireless network, identify WLAN organizations that set Wi-Fi standards and the basics of radio communication. This course introduces you to what goes into setting up a wireless network and how wireless functions at a basic level without requiring any technical experience. Typical candidates for this course are individuals who are new to networking and want to learn the basics of wireless networking. Get an introduction to wireless technologies, standards, Radio Frequency (RF), and planning concepts. 10 videos Understand wireless network architectures, past, present and future. 7 videos1 assignment | 2 modules | Beginner level | 3 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/aruba-mobility-basics | null |
6,562 | Inclusive Online Teaching Teach-Out | 7,612 | 4.4 | 53 | Paul Huckett | Johns Hopkins University | [] | In this course, higher education faculty will examine students’ barriers to learning, including unconscious bias, physical impairments, and lack of motivation. Participants will explore and discuss how inclusive pedagogy and Universal Design for Learning (UDL) can help to address those barriers and improve student learning outcomes. In this module, we will define inclusive pedagogy by reviewing its three broad goals, highlighting common barriers to learning, and outlining strategies for implementing an online learning environment. Learners will reflect upon their experiences with inclusive pedagogy, good and bad, and share that with their peers. Let’s begin by getting to know you all better. Please go-ahead and jump to the welcome introduction area. 5 videos11 readings4 discussion prompts3 plugins Last week we discussed barriers to learning and strategies for overcoming them. This week we will continue that exploration of overcoming barriers in the context of implementing universal design for learning (UDL). 5 videos8 readings3 discussion prompts1 plugin | 2 modules | null | 5 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/inclusive-online-teaching | null |
6,563 | Writing Practice | Enrollment number not found | Rating not found | null | Santosh Mahapatra | Birla Institute of Technology & Science, Pilani | ['Academic Writing'] | Welcome to the Writing Practices course. This course aims to prepare you for performing writing tasks in academic contexts. In this course you will be introduced to basic academic writing skills. You will learn how the principles and structures of academic writing work when you are composing a variety of scripts. This course covers a wide variety of topics related to academic writing that will prepare you for presenting arguments, describing scientific processes and comparing objects and ideas. Course Positioning
This course is an intermediate level course in academic writing, intended for learners who have basic proficiency in reading and writing in English. The knowledge gained from this course will help you write effectively in most academic situations.
System Requirements for the Course
You would need a functional computer, a steady internet connection, a good browser, and access to Google Drive for this course. This module introduces you to the course. The course introductory video orients you to the skills and knowledge you will acquire through this course. You will also meet and greet your peers around the globe through a discussion prompt. 1 video1 discussion prompt This module introduces you to the course and some of the fundamental aspects of academic writing. You will explore the purpose, types, and features of academic writing. You will also gain insights into issues of originality, integrity, and plagiarism in academic writing. You will learn how originality in writing involves following academic norms and respecting intellectual property rights when gathering and presenting ideas. You will learn that integrity is a related concept, and it comes into play when the author learns to build on others’ ideas without claiming the borrowed ideas or words as zir own. You will also learn when one claims others’ work or ideas as one’s own, and how it amounts to plagiarism. 13 videos11 readings12 assignments1 discussion prompt In this module, you will review the process of gathering ideas, writing the topic sentences, supporting details, and the concluding sentence in a paragraph using signposts for connecting ideas within it. You will learn about gathering ideas through brainstorming that may involve strategies like idea map creation, establishing connections among the generated ideas, and keeping the paragraph focused in terms of content. In the next step, you will create a topic sentence that captures the main idea of the paragraph. You will learn how the topic sentences are followed by adequate and focused supporting ideas or details. Lastly, you will also learn a concluding sentence which reaffirms that the topic sentence helps you bring the paragraph to a proper end. 14 videos21 readings13 assignments1 discussion prompt This module focuses on writing argumentative, cause-effect, and comparison paragraphs. You will learn about argumentative paragraphs focusing on supporting or opposing claims to convince or persuade readers. You will then learn about the cause-effect paragraphs illustrating the reasons behind certain events and connect the results with the reasons. You will also learn about comparison paragraphs highlighting the similarities and differences between two objects or ideas. 13 videos12 readings12 assignments1 discussion prompt This module focuses on writing paragraphs on problem-solution, process, and visual information. You will learn about problem-solution paragraphs that typically describe a problem and a solution to the problem. You will learn how process paragraphs usually explain the steps to achieve certain results. You will also gain insights into how paragraphs, based on visual information, often describe information presented through tables and diagrams. 13 videos10 readings12 assignments1 discussion prompt This module focuses on the elements of academic writing. You will learn how to use language in a grammatically correct manner, especially punctuation and articles. You will familiarize yourself with the use of conditionals in academic writing. You will explore the utility of paraphrasing and summarizing in academic writing and how to paraphrase and summarize academic texts systematically. 13 videos10 readings13 assignments1 discussion prompt | 6 modules | Intermediate level | 37 hours to complete (3 weeks at 12 hours a week) | https://www.coursera.org/learn/bits-writing-practice | null |
6,564 | Graphic Elements of Design: Color Theory and Image Formats | 32,833 | 4.7 | 556 | Lori Poole | University of Colorado Boulder | ['Print Design', 'online design', 'Color Theory', 'Graphic Design', 'textual elements'] | Examining and exploring the various types of images and graphic elements will be the focus of this course. We will start with color theory to distinguish between CMYK, Pantone and RGB color options and their usages. Then we will review the various types of images used in both print and digital design projects. Finally we will look at logo designs to determine what makes for the best images and graphic elements for corporate branding and imaging. This module will cover color theories, including CMYK, RGB, Pantone and hex colors. 6 videos2 readings1 assignment1 discussion prompt1 plugin This module will review common image and graphic files, including the difference between raster and vector images. 3 videos1 reading1 assignment1 discussion prompt1 plugin This module will cover how to convert image colors and ways to find images online. You will get to use skills learned in designing a color advertisement. 3 videos2 readings1 peer review | 3 modules | Beginner level | null | https://www.coursera.org/learn/graphic-elements-design | 96% |
6,565 | Point of Care Testing for Sexually Transmitted Infections | Enrollment number not found | 4.5 | 21 | Anne Rompalo, MD, ScM | Johns Hopkins University | [] | What are sexually transmitted infections (STIs), and why do we care? What is point of care testing (POCT)? What do clinicians and patients want and need from the POCT for STIs? Point of care testing, or medical diagnostic testing done at the time of patient care, is an important tool for the treatment of sexually transmitted infections. This course looks at point of care testing for sexually transmitted infections from the perspective of the clinician, the patient, and the regulatory environment.
Learners will hear from experts about the basics of sexually transmitted infections, the methods of diagnosis, and then dive more deeply into the why and how of point of care testing.
Note: This course discusses the specifics of sexually transmitted infections in detail, including photos of genitalia exhibiting symptoms of these infections. 4 videos1 reading1 assignment 6 videos5 assignments 17 videos1 assignment 9 videos1 reading3 assignments | 4 modules | Beginner level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/poct-for-sti | null |
6,566 | AI Workflow: Data Analysis and Hypothesis Testing | 5,110 | 4.2 | 114 | Mark J Grover | IBM | ['Artificial Intelligence (AI)', 'Data Science', 'Python Programming', 'Information Engineering', 'Machine Learning'] | This is the second course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. In this course you will begin your work for a hypothetical streaming media company by doing exploratory data analysis (EDA). Best practices for data visualization, handling missing data, and hypothesis testing will be introduced to you as part of your work. You will learn techniques of estimation with probability distributions and extending these estimates to apply null hypothesis significance tests. You will apply what you learn through two hands on case studies: data visualization and multiple testing using a simple pipeline.
By the end of this course you should be able to:
1. List several best practices concerning EDA and data visualization
2. Create a simple dashboard in Watson Studio
3. Describe strategies for dealing with missing data
4. Explain the difference between imputation and multiple imputation
5. Employ common distributions to answer questions about event probabilities
6. Explain the investigative role of hypothesis testing in EDA
7. Apply several methods for dealing with multiple testing
Who should take this course?
This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses.
What skills should you have?
It is assumed that you have completed Course 1 of the IBM AI Enterprise Workflow specialization and have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process. Exploratory data analysis is mostly about gaining insight through visualization and hypothesis testing. This unit looks at EDA, data visualization, and missing values. One missing value strategy may be better for some models, but for others another strategy may show better predictive performance. 6 videos11 readings4 assignments2 peer reviews1 ungraded lab Data scientists employ a broad range of statistical tools to analyze data and reach conclusions from data. This unit focuses on the foundational techniques of estimation with probability distributions and extending these estimates to apply null hypothesis significance tests. 3 videos14 readings3 assignments1 ungraded lab | 2 modules | Advanced level | 10 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/ibm-ai-workflow-data-analysis-hypothesis-testing | null |
6,567 | Advanced Tableau Specialization | Enrollment number not found | Rating not found | null | CFI (Corporate Finance Institute) | Corporate Finance Institute | ['Level of Detail Calculations', 'Table Calculations', 'Data Modeling', 'Relationships', 'Table Joins', 'Data Visualization', 'Level of Detail Calculations', 'Table Calculations', 'Data Modeling', 'Relationships', 'Table Joins', 'Data Visualization'] | Create insights that drive value, by focusing on commonly asked business questions. Use Table Calculations, Level of Detail Calculations and Data Modeling to solve complex problems. Finally, apply your advanced skills to create a comprehensive trading dashboard. Applied Learning Project In this specialization, learners will tackle commonly asked business questions by utilizing Table Calculations, Level of Detail Calculations, and Data Modeling to address complex problems. They will apply these advanced skills to develop a comprehensive trading dashboard, providing practical and valuable insights. This course will help you solve and answer common business questions by using Table Calculations in Tableau. With each scenario requiring a different function, you’ll learn to think on your feet and work with common problems. In total, you’ll work your way through 10 different scenarios and learn to use best practice, conditions, parameters and visual formatting to present these advanced metrics with absolute clarity.
Table Calculations form the perfect next step after Tableau Fundamentals and should be completed before Tableau Level of Detail Calculations.
By the end of the course, you'll be able to:
• Understand what table calculations are what problems they can solve.
• Calculate table calculations to help compare values across a full visual.
• Learn best practice for implementing table calculations.
• Learn how to use table calculations filters to hide data points from visuals.
• Identify why Table Calculations are not ideal for Year over Year calculations.
• Enhance visuals with conditional formulas, parameters and formatting.
This course is perfect for any analyst with a basic working knowledge of Tableau that wants to explore more advanced metrics, visuals and answer common business questions. This Advanced Tableau course provides next-level training to be able to prep and display data in an efficient way. In this course, you’ll utilize Tableau to break down and solve the types of business problems that BI analysts and financial analysts typically face. This course will open the hood of Tableau’s SQL processing to give you a deeper understanding of how these calculations work. You’ll also be applying what you learn to 7 different business scenarios, which we hope you’ll publish into a Tableau Public profile to show off your work.
By the end, you’ll have a deeper understanding of Tableau and the confidence to tackle a huge variety of problems.
Upon completing this course, you will be able to:
• Define level of detail and other critical concepts
• Identify the grain and level of detail of a data set
• Troubleshoot common errors
• Apply fixed, include, and exclude LOD calculations to business scenarios
• Identify how different LODs are affected by context and dimension filters
• Compare LOD calculations to table calculations
This Tableau course is perfect for professionals who have a solid understanding of data analysis and want to expand their skill set to include Tableau’s world-leading visualizations. This course is designed to equip anyone who desires to begin a career in business analysis—or other roles that require displaying and analyzing data sets—with the advanced skills to create dynamic data-viewing experiences. This Advanced Tableau course provides next-level training for structuring and connecting data in Tableau to build elegant and professional models. In this course, you’ll combine related data using joins, relationships, and blends to bring data into visuals. We’ll work through a scenario with evolving business requirements. These requirements will need more and more data added to our model as we progress. Each time you do this, you’ll be introduced to new options for joining, relating, and blending data, common problems, and methods for optimizing your data model for performance.
By the end, you’ll have learned to think more carefully about the structure of your data, the types of connections you should use, and the performance options that are best for your data.
By the end of this course you will be able to:
• Build a basic data model using Tableau’s relationship feature
• Optimize data model relationships using performance tuning
• Understand the differences between JOINS, Relationships, and Blends
• Adapt a data model based on an expanding set of requirements
• Deal with common issues like NULLs, Many-to-Many, One-to-One relationships and filtering.
• Understand how ETL tools can make life easier to create an optimal Star Schema
This Tableau course is perfect for professionals who have a solid understanding of Tableau and want to solidify their knowledge of data modeling. If you want to know how to make good data modeling decisions in Tableau, this course is for you. In this case study, you’ll take on the role of a Business Intelligence Analyst in an investment bank. The Sales and Trading team at CFI Capital Partners need you to develop customized dashboards to help their team with bespoke market analysis. You will be creating candlestick charts, Bollinger bands, market cap tree maps, growth plots, and much more in this exciting real-world scenario.
With plenty of extended student challenges and interactive exercises, this course is the perfect scenario-based case study to reinforce your fundamental knowledge of Tableau.
This case study is the perfect way to practice your Tableau and BI skills, and will help reinforce five key areas of Tableau:
• Creating Advanced Visuals - Candlesticks, Bollinger Bands and more
• Parameters - for filtering and highlighting
• Order of Operations - The key unlocking your Tableau superpowers
• Table Calculations - for moving averages and rolling maximums
• Parameter Actions - for next-level dashboard interactivity
This course is perfect for anyone who would like to practice their Tableau and SQL skills in a real-world scenario. There is no better way to kick-start a career in data analysis, quantitative analysis, business intelligence, or other areas of finance with applied, practical knowledge of Tableau and related BI tools. | 4 course series | Advanced level | 1 month (at 10 hours a week) | https://www.coursera.org/specializations/advanced-tableau | null |
6,568 | Introduction to Python for Cybersecurity | 25,927 | 4.4 | 341 | Howard Poston | Infosec | ['introduction to python for cybersecurity'] | This course it the first part of the Python for Cybersecurity Specialization. Learners will get an introduction and overview of the course format and learning objectives. 3 videos1 reading1 assignment An exploration of Python for the PRE-ATT&CK matrix. 6 videos1 assignment Explore using Python for Initial Access. 5 videos1 assignment | 3 modules | Intermediate level | 3 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/pythonforcybersecurity-introduction | null |
6,569 | Advanced Capstone Spacecraft Dynamics and Control Project | Enrollment number not found | Rating not found | null | Hanspeter Schaub | University of Colorado Boulder | ['input shaped attitude control', 'time varying geometry', 'spacecraft simulation', 'center of mass properties'] | This capstone course is the 3rd and final course of the specialization Advanced Spacecraft Dynamics and Control. It assumes you have completed the prior courses on "Attitude Control with Momentum Exchange Devices" and "Analytical Mechanics for Spacecraft Dynamics". This project course investigates the dynamics of a complex spacecraft system where there is a rigid hub onto which a hinged panel is attached. This simulates a spacecraft with a time varying geometry. First, the three-dimensional kinematics of this system are explored. Analytical relationships of the body and panel position and velocity states are derived, and the center of mass properties of this system are explored.
Next, a simplified system is used to use Lagrange's equations of motion to predict the dynamical response. With these differential equations we are then able to apply attitude control torques and investigate the rotational response if the spacecraft hub has a spring-hinged panel attached. Two open-loop control torque solutions are investigated. The classical minimum time bang-bang control solution is applied first, illustrating how such a control can yield unwanted panel oscillations. Finally, a filtered version of the bang-bang control is applied to illustrated how the panel oscillations can be significantly reduced at the cost of a slightly longer nominal maneuver time. Welcome to the capstone project of the course sequence on advanced spacecraft dynamics and control. 1 video In this lesson we study a spacecraft system that contains a rigid hub with a hinged solar panel. Here the hub and panel center of mass locations are free to move relative to the spacecraft system center of mass. Fundamental properties of the dynamical description are derived. 1 reading3 assignments In this module we develop the differential equations of motion of the hub-panel spacecraft system that is constrained to rotate about a single axis. Two different open-loop torque solutions are applied to reorient the spacecraft from rest to a new stationary attitude. The impact of filtering a classical bang-bang control solution is investigated by apply a first-order low-pass filter to the control input. 1 reading3 assignments | 3 modules | Advanced level | 16 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/advanced-capstone-spacecraft-dynamics-control-project | null |
6,570 | Advanced SAS Programming Techniques | 4,075 | 4.8 | 90 | Michele Ensor | SAS | [] | In this course, you learn advanced techniques within the DATA step and procedures to manipulate data. “By the end of this course, a learner will be able to…”
● Use additional functions (LAG, FINDC/FINDW, and COUNT/COUNTC/COUNTW).
● Perform pattern matching using PRX functions.
● Process repetitive code, rotate data, and perform table lookups using arrays.
● Perform table lookups and sort data using hash and hash iterator objects.
● Create numeric templates using the FORMAT procedure.
● Create custom functions using the FCMP procedure. In this module, you'll set up software and data for this course. Then you'll review the concepts of SAS DATA step processing and how to process data sets. 5 videos4 readings1 assignment In this module, you'll use advanced functions to compare data between multiple rows in a SAS table, find and count substrings within a column, and clean and standardize data.
You'll also explore CALL routines, Perl regular expressions, and how to use advanced functions to modify and analyze storm, weather, and population data. 16 videos1 reading12 assignments In this module, you'll learn how to use arrays to simplify your code. You'll use arrays to process repetitive code, rotate data, and perform table lookups. 18 videos1 reading11 assignments In this module, you'll learn how to declare a hash object, instantiate or create an instance of the object, and initialize its lookup keys and data. You'll use the hash object to store and retrieve data, create an output table from the data in the hash object, and create a hash iterator object to process the data in a particular order. 19 videos3 readings10 assignments In this module, you'll learn how to use PROC FORMAT's PICTURE statement to create a custom template to display large numbers, dates, and times. You'll also use PROC FCMP, the function compiler procedure, to create custom functions and CALL routines. 12 videos1 reading9 assignments1 app item | 5 modules | Intermediate level | 17 hours to complete (3 weeks at 5 hours a week) | https://www.coursera.org/learn/advanced-sas-programming-techniques | null |
6,571 | JUnit and Mockito Unit Testing for Java Developers | Enrollment number not found | Rating not found | null | Packt - Course Instructors | Packt | ['Unit Testing', 'Hamcrest', 'Mockito', 'Junit', 'API Testing'] | Are you looking for a simple guide to learning unit testing? This video course is perfect for you. It includes hands-on exercises and best practices to help you understand JUnit and Mockito unit testing with ease. -The course starts with an introduction to unit testing and the importance of JUnit.
-You'll create a Java project using JUnit and follow best practices for writing and running unit tests with JUnit and IntelliJ IDEA.
-You'll also write mock object-based unit tests with Mockito and make powerful assertions using the Hamcrest assertions library included with JUnit.
-By the end, you'll have the skills to write better unit tests using JUnit, Mockito, and Hamcrest.
This course is suitable for Java developers and testers with basic Java knowledge who want to write unit tests using JUnit, Mockito, and Hamcrest. Learn modern unit testing concepts, run tests in the IDE, analyze code for quality tests, and compose readable assertions. In this module, we will introduce you to the course and its structure. The welcome video provides an overview of what you can expect from the course, setting the stage for your learning journey. Following this, the course structure overview gives a detailed breakdown of each section, ensuring you know how to navigate through the content effectively. 2 videos1 reading In this module, we will delve into the foundations of unit testing. We'll start with an overview of what unit testing is and the basic concepts behind it. You will then learn about JUnit, a popular tool for unit testing in Java, and see how to write a simple unit test using JUnit. The section continues with detailed explanations of the structure of unit tests, conventions to follow, and the characteristics of proper unit tests. Finally, we will cover the use of assertions in JUnit to validate test results effectively. 8 videos In this module, we will guide you through the process of creating a Java project using JUnit. We'll begin by demonstrating how to set up a project using the Maven Quickstart Archetype. Next, you'll learn about the typical structure of a Java project, with a focus on the differences between production and test source trees. Finally, we will cover the essential conventions for creating unit tests, including proper package organization and naming practices, ensuring that your tests are well-organized and easy to maintain. 4 videos1 assignment In this module, we will cover the comprehensive process of writing and running unit tests using JUnit and IntelliJ IDEA. You will learn how to create test methods with the @Test annotation, run these tests within an IDE, and understand the success and failure of tests. We will explore handling exceptions in test failures and the explicit use of Assert.Fail() for validation logic. Additionally, you will be introduced to JUnit's assertions API and the fail-fast test failure mechanism. Finally, we'll delve into best practices like adding descriptive comments to assertions, maintaining DRY principles with @Before, and understanding test fixture instantiation. 13 videos In this module, we will explore the use of mock objects and Mockito for unit testing. You'll start by understanding the fundamentals of Mockito and how mock objects are used in testing. We will guide you through configuring projects with Mockito and creating projects that utilize both JUnit and Mockito. The section covers coding and testing various layers of a layered architecture, including the presentation, business, and persistence layers, ensuring proper package organization. Additionally, you'll learn about setting up test fixtures for mock object-based tests and writing specific tests for components like the login controller and authentication service. Finally, we will discuss important design decisions to consider when unit testing your applications. 13 videos In this module, we will dive into the Hamcrest Assertions Library and its applications in unit testing. You will begin by evolving domain and repository classes and learning how to ignore tests using the @ignore annotation. We'll cover the implementation of finders in the repository and business logic in the service layer, along with configuring Maven for Java 8. The section includes refactoring practices to develop new services and generating test methods in the IDE. You'll explore JUnit Mockito Runner, @Mock, and @InjectMocks annotations, and learn to analyze production code for effective test writing. We will replace JUnit assertions with Hamcrest assertions, tackle Hamcrest test failures, and create complex assertions using the allOf method and property matchers. 25 videos2 assignments | 6 modules | Intermediate level | 4 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/packt-junit-and-mockito-unit-testing-for-java-developers-md38o | null |
6,572 | Pharmacy Dosages and Prescriptions Essentials | 3,893 | 4.5 | 34 | Dr. Sherrie B. Moore | MedCerts | ['Counting/Weighing/Measuring Medications', 'Calculating Dosages', 'Understanding Tablet and Capsule Prescriptions', 'Liquid Prescriptions', 'Interpreting Prescriptions'] | In the Pharmacy Dosages and Prescriptions Essentials course, students will learn the language of medicine, using pharmacy nomenclature and the skills necessary to measure different types of prescriptions through four lessons. This includes understanding the dosage calculation methods, mathematical conversions, and formulas most commonly used within the pharmacy. Students will also learn how to prepare and measure tablet and capsule medications, liquid prescriptions, and other considerations, including parenteral and enteral, and insulin and syringes. It is essential to understand the patient and medication safety practices necessary for the role, such as handling and disposing of hazardous material. Additionally, this course provides insight into the various roles a pharmacy technician is expected to perform, how to properly handle these tasks, and a variety of other real-world scenarios a pharmacy technician will encounter in the pharmacy. After completion of this course, students will have a solid base knowledge of prescriptions, dosages, calculations, and the overall tasks of the role. Course objectives include:
- Verify medication orders, calculate and measure dosage, and prepare and package medications
- Apply knowledge of pharmacology, documentation, and inventory management in the pharmacy
- Practice basic calculation methods related to pharmacy, including fractions, decimals, percentages, the metric system, ratios, and proportions Calculating the proper dosage of a medication is the primary component of administering a drug. Explore the 3 basic methods used for dosage calculation: Dimensional Analysis, Ratio and Proportion, and using Formulas, as well as various pediatric dosage calculations, and infusion calculations for flow rate, time and weight. 5 videos4 readings5 assignments In this lesson, we review filling prescriptions in a tablet and capsule form, types of tablets and capsules, filling machines, and bottles. 3 videos1 reading2 assignments2 plugins This lesson discusses liquid prescriptions, solutions, solubility, suspensions, emulsions, various emulsifiers, and methods. 4 videos1 reading2 assignments2 plugins The role of the Pharmacy Technician is to ultimately interpret prescriptions or review patients' charts to prepare appropriate medications. This lesson reviews those important tasks and identifies various scenarios and how to address them. 4 videos3 readings4 assignments1 peer review | 4 modules | Beginner level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/pharmacy-dosages-and-prescriptions-essentials | null |
6,573 | Introduction to iOS Mobile Application Development | 46,370 | 4.6 | 898 | Taught by Meta Staff | Meta | ['iOS App Development', 'Application development', 'Mobile Development'] | Learn about iOS development by learning about the OS and the development platform. Discover how to set up and prepare a local environment. Get acquainted with the Swift playground and write code in Swift. By the end of this course, you’ll be able to:
-Demonstrate a working knowledge of the general principles of mobile apps and the iOS ecosystem
-Set up and explore the XCode environment
-Demonstrate an understanding of how XCode is used in the Swift app development process
-Write Swift code and create UI with the use of Swift playgrounds
-Navigate the Swift UI
-Manipulate data in Swift
You’ll gain experience with the following tools and software:
-Swift application and software
-iOS software and development environment
-Mobile OS
-XCode
-Objective-C
-UI frameworks
-Testflight
-UI storyboard
-MVC
-APIs In this module, you will learn the general principles of mobile apps and the iOS platform ecosystem. 14 videos9 readings4 assignments2 discussion prompts In this module, you will set up and explore the iOS Xcode environment. 11 videos7 readings3 assignments In this module, you will explore how to create a video player app in Xcode, from project planning to project launch 11 videos9 readings4 assignments1 discussion prompt | 3 modules | Beginner level | null | https://www.coursera.org/learn/introduction-to-ios-mobile-application-development | 94% |
6,574 | Agile Software Development | 190,468 | 4.7 | 7,282 | Praveen Mittal | University of Minnesota | ['Scrum (Software Development)', 'Software Development Kit (SDK)', 'Agile Software Development'] | Software industry is going crazy on agile methods. It is rapidly becoming the choice for software development where requirements are unpredictable or is expected to change over time. This course will help you gain knowledge on what is agile? Why agile is better suited for these situations? We will also cover some of the most common agile frameworks like scrum and XP in depth. Prerequisite: You need basic knowledge of software development process and software development methodologies.
After completing this course, you will be able to :
1) Demonstrate the ability to participate effectively in agile practices/process for software development.
2) Explain the purpose behind common agile practices.
3) Ability to apply agile principles and values to a given situation.
4) Ability to identify and address most common problems encountered in adopting Agile methods.
Project: You will also be given opportunity to apply what you learn in this course. You will be given fictional case studies, where after studying the case study, you will have to exercise some of the practices, techniques, etc that team members of an agile team members are expected to know. In this module, we will learn about agile mindset, the core behind many agile methods. How agile methods are different than traditional methods and when to use agile methods. We will learn about how to apply agile mindset and finally review different frameworks available to implement agile. 9 videos3 readings4 assignments In this module we will learn about user stories and agile estimation and planning techniques. 9 videos5 assignments In this module we will learn about Scrum which is one of the most popular agile framework. We will learn about scrum practices and the purpose behind these practices. 6 videos4 assignments1 peer review In this module, we will compare Scrum to XP and learn about some of the engineering practices from XP. 5 videos1 reading1 assignment1 peer review | 4 modules | Intermediate level | null | https://www.coursera.org/learn/agile-software-development | 97% |
6,575 | A quick tour on Big Data and Business Intelligence | 1,978 | 4.2 | 18 | Elio Masciari | Università di Napoli Federico II | ['Artificial Intelligence (AI)', 'Data Preparation', 'Apache Hadoop', 'Data scientist', 'Big Data Architect'] | This course is devoted to beginners and practitioners of Big Data and AI fields. It will be a quick overview of some basic concepts that could be further elaborated by professionals. Ranging from CAP theorem to Turing assumption, we will provide a starting guide for diving in these fascinating topics. Getting familiar with the following key concepts by attending the lessons and answering basic queries 4 videos16 readings1 assignment Getting familiar with the following paradigms by attending the lessons and writing small pieces of programs 3 videos6 readings1 assignment Getting familiar with the following tools by attending the lessons and solving small case studies 3 videos9 readings1 assignment Getting familiar with the No SQL paradigm and AI building blocks by attending the lessons and designing basic solutions 3 videos12 readings1 assignment | 4 modules | Beginner level | 7 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/big-data-business-intelligence | null |
6,576 | Google Drive | 14,515 | 4.8 | 209 | Google Cloud Training | Google Cloud | [] | Google Drive is Google’s cloud-based file storage service. Google Drive lets you keep all your work in one place, view different file formats without the need for additional software, and access your files from any device. In this course, you will learn how to navigate your Google Drive. You will learn how to upload files and folders and how to work across file types. You will also learn how you can easily view, arrange, organize, modify, and remove files in Google Drive.
Google Drive includes shared drives. You can use shared drives to store, search, and access files with a team. You will learn how to create a new shared drive, add and manage members, and manage the shared drive content.
Google Workspace is synonymous with collaboration and sharing. You will explore the sharing options available to you in Google Drive, and you will learn about the various collaborator roles and permissions that can be assigned.
You’ll also explore ways to ensure consistency and save time with templates.
Google Drive has several tools and options available. This course discusses some of these options, including how to work offline, use Drive File Stream, and install apps from the Google Workspace Marketplace. This module covers the agenda. It also introduces students to On the Rise and the course business challenge. 2 videos In this module, we will introduce you to Google Drive and discuss its main uses. We will also talk about key differences between personal and shared drives. 2 videos1 reading1 assignment In this module, we will look at collaborator roles and permissions and what these mean for sharing with Google Drive. 2 videos1 reading1 assignment In this module, you will learn how to upload files and folders in My Drive and work across file types. We will also discuss how you can easily view, arrange, organize, modify, and remove files in My Drive. 7 videos2 readings1 assignment Shared drives are shared spaces in Google Drive for sharing content with a team. In this module, we will look at how to organize, manage, and share folders and files using a Google shared drive. 4 videos1 reading1 assignment To ensure consistency when creating content, and to save time when creating the same document repeatedly, you can create a template. In this module, we’re going to talk about creating and using templates and how to save and search for them in Google Drive. 3 videos1 reading1 assignment Google Drive offers several additional tools, add-ons, and options that can be enabled in order to meet your needs. In this module, we will talk about some of these options, including offline viewing, Drive File Stream, and the Google Workspace Marketplace. 2 videos1 assignment In this module, you will put everything you have learned into practice by helping our fictional Google Workspace customer solve their business challenge. 2 videos1 reading1 plugin | 8 modules | Beginner level | null | https://www.coursera.org/learn/google-drive | 97% |
6,577 | Teaching Writing Specialization | 2,212 | 4.3 | 38 | Mark Farrington | Johns Hopkins University | ['Critical Thinking', 'Teaching', 'Curriculum Design', 'reflection', 'Writing', 'Critical Thinking', 'Teaching', 'Curriculum Design', 'reflection', 'Writing'] | This specialization will provide learners with proven methods to improve the writing of students of all ages, in all situations, including K through University classrooms as well as homeschooling, tutoring, in business and the private sector. In four courses and a final project, you’ll learn effective theories and practices to teach writing that you can adapt to your own teaching situation and needs. You’ll learn how to teach writing as process, how to reach even the most reluctant writers, how to help students construct specific texts and make the reading/writing connection, and how to respond to and assess student writing in ways that are meaningful to both teacher and student. If you use writing in your teaching, or want to, this specialization will provide you with tools and practices you can use with your students right away. Applied Learning Project Learners will examine and adapt best practices
in the teaching of writing to meet their own students’ needs and situations,
regardless of grade level, discipline or skill level. They will create
activities and lesson plans designed to help their students improve their
writing skills, and will reflect on the theories and values that guide their
teaching. What the writing process is and how it can help improve student writing. How writing as discovery, low-stakes writing and reflection can help students grow more comfortable and confident as writers. Reasons why students might be reluctant writers, and tools and techniques to help them become more comfortable and confident as writers. How to teach a variety of writing forms, including argument, personal writing and creative writing. How to connect reading and writing in teaching your students. Best practices for responding to student writing. Strategies and techniques for teaching revision. Theories and strategies for assessing student writing. One of the goals of the Teaching Writing specialization has been to help every learner consider ways to adapt what they are learning and apply it to their specific situation, needs and interests. The theories, strategies and practices presented in these courses are sound, and can work with any student of any age and skill level, provided each learner is able to adapt their learning and apply it to their specific students, current or future. In this final project, learners will select one component from each of the four courses that are among the most important things they learned from that course. They will describe what these components are, explain why they are important to the learner, and create a plan for incorporating that new learning into their teaching or their own writing going forward. | 5 course series | Beginner level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/teaching-writing | null |
6,578 | Sustainable Supply Chains | Enrollment number not found | Rating not found | null | Doug Thomas | University of Virginia Darden School Foundation | ['Supply Chain Strategy', 'Supply Chain Management Strategies', 'Logistics', 'Supply Chain Metrics', 'Supply Chain Optimization', 'Supply Chain Analysis'] | This course focuses on the premise of “What is a Sustainable Supply Chain? It covers the building blocks of a supply chain, the sustainability related standards, rules, and legislation that are applicable to the supply chain and the role of business, society, and government in building a sustainable supply chain. You will build a basic foundational knowledge of how supply chains work, the main nodes and flows with a supply chain. You will learn how to create a transparent supply chain process and close the loops on internal and external supply chains. Finally, you will be able to tie-in how national policies and climate and geo-political risks impact your supply chain.
This course is ideal for managers in the procurement, operations, supply chain, and strategy domains who need to create and manage a sustainable supply chain while navigating the various industry specific challenges. Welcome to the Introduction to Supply Chain Management module. In this module, we will trace the supply chain from the end consumer all the way back to the supplier. We will learn appropriate terminology, identify key decisions and learn how to make these decisions. We will also discuss how supply chains are currently being reshaped by firm-driven innovation, shifting consumer preferences, emerging technology and evolving public policy. Finally, this module will provide a basis for supply chain fundamentals and the sustainable supply chain challenges. 10 videos9 readings1 assignment4 discussion prompts Welcome to the Creating and Managing a Sustainable Supply Chain module. In this module we will look at some commonly used frameworks for sustainable development, the standards and metrics available to measure sustainability, and recent laws and legislation that supply chains need to comply with around sustainability. You will learn how enabling supply chain visibility and transparency, align incentives, and design the supply chain to meet the sustainability goals. 5 videos3 readings1 assignment3 discussion prompts Welcome to the Critical Supply Chains and National Interests module. In this module we will look at the main components of a critical supply chain - critical products, critical processes, and critical resources. You will hear how recent geo-political and climate risks have impacted the supply chain. Finally, you will be able connect how national policies that are applicable within the country, and enacted in partnership with other countries, can influence sourcing, production, and distribution decisions in the supply chain. 4 videos3 readings1 assignment3 discussion prompts Welcome to the final learning module of the course, a Summary of Sustainable Supply Chains. In this module, we'll recap the course and allow for you to reflect on your learnings and understanding. 1 video1 discussion prompt | 4 modules | Beginner level | 6 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/sustainable-supply-chains | null |
6,579 | Age of Jefferson | 28,377 | 4.7 | 455 | Professor Peter S. Onuf | University of Virginia | [] | This course provides an overview of Thomas Jefferson's work and perspectives presented by the University of Virginia in partnership with Thomas Jefferson’s Monticello. Together, UVA and Monticello are recognized internationally as a UNESCO World Heritage Site. Thomas Jefferson is an American icon. He has also been one of the most polarizing and controversial figures in American history. In this introductory module, we’ll explore how Jefferson’s reputation has changed and evolved over the last two centuries. We’ll discover what Jefferson considered to be his most important contribution to the “Age of Enlightenment” in which he was living. We’ll discuss why some people in both the nineteenth and twentieth centuries have viewed Jefferson and his ideas with skepticism or worse while others have embraced Jefferson. Overall, learning about how people from many different backgrounds and perspectives have interpreted Jefferson throughout history will help us understand why it’s so important to think critically and honestly about Jefferson’s life and legacy today. 6 videos1 reading1 assignment No document is more closely associated with Jefferson than the Declaration of Independence. Listing it as the first of three achievements on his tombstone, Jefferson clearly believed the Declaration to be of profound importance. Generations of Americans have agreed, constantly quoting its phrases and invoking its ideas. But do we really understand what Jefferson was trying to do when he wrote the Declaration? In this module, we’ll explore the Revolutionary context in which Jefferson lived and worked. We’ll ask why the Declaration takes the form that it does, and also what Jefferson hoped it would accomplish. Surprisingly, the parts of the Declaration that we celebrate most frequently today may not be the ones Jefferson would have understood to be the most important. 5 videos1 reading1 assignment The man who wrote in the Declaration of Independence that “all men are created equal” was a lifelong slaveowner whose affluence rested on the exploitation of hundreds of African Americans. In this module, we travel to Montalto, the mountain overlooking Jefferson’s home and plantation on Monticello, to try to gain some perspective on this great tension in Jefferson’s life and thought. Our goal will be neither simply to exonerate nor to castigate Jefferson, but rather to understand how he viewed slavery and his relationship to it. Only by confronting and considering this complicated, frustrating, and tragic chapter in American history can we come to a more complete and nuanced understanding of Thomas Jefferson and his legacy. As students attending the University Jefferson founded, it is especially important to engage this topic. 5 videos2 readings1 assignment The role of religion in public life continues to be a topic of debate today in both the United States and around the world. Thomas Jefferson was never happier than when his Bill for Religious Freedom was finally enacted in Virginia in 1786. In this module, we’ll try to understand why Jefferson believed freedom of religion to be so essential to the future of the United States. To do this, we’ll explore the historical context in which Jefferson developed his ideas about the proper relationship between religious denominations and the state. We’ll also investigate Jefferson’s own faith—a subject of much controversy from his own day through the present. Considering Jefferson’s serious engagement with questions of religion will help us understand the kinds of communities and society he hoped would take hold and flourish in the new nation. 6 videos1 reading1 assignment Founding the University of Virginia in 1819 was the most obvious example of Jefferson’s interest in education, but it was by no means the first time he considered the subject. Indeed, education was one of Jefferson’s constant preoccupations. In this session, we’ll discuss Jefferson’s ideas about education as they developed over the course of his life, from the ambitious plan for a state-supported system of schools outlined in his “Bill for the More General Diffusion of Knowledge,” to his conclusion in the early nineteenth century that the other institutions of higher learning that existed in the United States just weren’t suited to forming the leaders of a free republic. Throughout the discussion, we’ll try to understand why Jefferson was so focused on education by asking what he believed was at stake if Americans failed in their duty to provide proper instruction for future generations. 5 videos1 reading1 assignment In 1789, Jefferson wrote a letter to James Madison from Paris in which he asserted that “the earth belongs to the living.” Calculating that a single generation could be said to last nineteen years, he proposed that no debts should be incurred that could not be paid off in nineteen years; that all laws should be re-written every nineteen years; and that Americans should re-write even their constitutions every nineteen years. Madison thought the ideas Jefferson outlined in this letter to be wildly impractical, and most commentators since then have come to the same conclusion. In this module, however, we’ll explore what Jefferson was getting at in claiming that “the earth belongs to the living.” In so doing, we’ll discover how this phrase expresses an idea that lies at the very core of Jefferson’s conception of equality, democracy, and the American nation. 6 videos1 reading1 assignment 1 assignment | 7 modules | Beginner level | null | https://www.coursera.org/learn/ageofjefferson | 95% |
6,580 | Business English: Final Project | 7,136 | 4.7 | 29 | Andrea Mürau Haraway | Arizona State University | [] | A common necessity among business professionals who are new to an international work environment is the ability to create a plan of action to launch a new product. In this task, one has to communicate with many different departments within a company including finance and marketing. In this capstone project, you will create a plan of action to launch a new product. This plan will include: · A project status report
· A copy of the marketing campaign
· A basic budget analysis for the project
· A short presentation for upper management with details on the project’s status
This project will give you the opportunity to apply your English skills learned in the courses to develop a useful document for your current job or a document that you could use as an example to demonstrate your new abilities and skills. All Executives Produce Same Deliverables in Week 1 6 videos5 readings2 assignments5 peer reviews4 discussion prompts CEO Track, CFO Track, CMO Track Lessons and Assignments 4 videos5 readings3 assignments3 peer reviews3 discussion prompts CEO Track, CFO Track, CMO Track Lessons and Assignments 7 videos8 readings3 assignments6 peer reviews3 discussion prompts CEO Track, CFO Track, CMO Track Lessons and Assignments 4 videos5 readings3 assignments3 peer reviews3 discussion prompts All Executives Complete the Capstone Portfolio and Presentation. 3 videos2 readings2 peer reviews1 discussion prompt | 5 modules | Intermediate level | 32 hours to complete (3 weeks at 10 hours a week) | https://www.coursera.org/learn/english-for-business-project | null |
6,581 | Microsoft Azure Cybersecurity Tools and Solutions Specialization | Enrollment number not found | Rating not found | null | Microsoft | Microsoft | ['Cloud Computing Security', 'Access Method', 'Data Management', 'Cybersecurity Planning', 'Information Security (INFOSEC)', 'Access Methods', 'Cyber Threat Intelligence', 'Penetration Testing'] | The Microsoft Cybersecurity Tools and Solutions program is designed to teach you the essential skills and knowledge needed to excel in the field of cybersecurity using Microsoft Azure cybersecurity tools and services. You will learn about authorization, authentication, Azure Active Directory, and managing enterprise security requirements. The program also covers cloud security policies, tools like MS Defender for cloud, security information and event management (SIEM), and security orchestration, automation, and response (SOAR). After which, the program engages you in the world of cybersecurity attack and defense, teaching you about penetration testing strategies and interpreting security scan results. Finally, you'll learn about data and record management, information security, standards and policy formation, and implementation, as well as cloud adoption and regulatory compliance frameworks with Microsoft Azure services. You’ll also learn to use Copilot to identify and prevent cybersecurity attacks. Upon completion, you will be well-versed in cybersecurity tools, technologies, management, and compliance, ready to tackle the challenges of safeguarding modern cloud computing environments. This program will equip you with the in-depth knowledge and practical skills to protect and manage enterprise security with Microsoft Azure. Applied Learning Project This Specialization includes a series of practical projects that will enhance your hands-on experience with Microsoft Azure cybersecurity tools and solutions. You will: Configure Azure Active Directory to manage enterprise security requirements Develop and implement cloud security policies to protect against DDoS attacks and unauthorized access Conduct penetration testing on a cloud platform, create test plans, and interpret security scan results Design and enforce data management and security policies, ensuring compliance with regulatory frameworks with Microsoft Azure services Explain the concept of Active Directory Describe Authentication methods Discuss access management Explain cloud-based security concepts Discuss security information and event management (SIEM) Define 365 Defender capabilities How to work with the tools associated with security testing within a cloud environment. How to create a penetration test plan. How to execute penetration testing on a cloud platform. Learn about data and record management, Information security, standards and policy formation, and implementation. Learn how to use available tools for compliance management. Explore cloud adoption frameworks and regulatory compliance frameworks. This course portrays how Copilot can be leveraged for cybersecurity. It provides a general overview as well as detailed use case demonstrations for Cybersecurity practitioners who want to augment their skills with Generative AI. | 5 course series | Beginner level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/microsoft-azure-cybersecurity-tools-solutions | null |
6,582 | Mind of the Universe - Genetic Privacy: should we be concerned? | 3,629 | 4.1 | 16 | Lotte Pet | Universiteit Leiden | [] | Should all our genetic information be made public in order to eradicate genetic diseases from this world? Who owns your genetic data once it becomes publicly accessible? What is your responsibility to family members when you know more about genetic diseases than they do? Who decides what kind of genetic information is relevant to a person? And what does genetic privacy mean to you?
In this challenge with Robert Zwijnenberg (Professor in Art and Science Interactions) you will critically reflect upon the issue of genetic privacy. You will dive into the ethical questions that come up with the disclosure of genetic data in biobanks and through genetic tests. This course encourages you to think about the cultural, philosophical and political tensions present in the debate around genetic privacy. You are invited to identify and listen to the viewpoints and values provided by the different stakeholders that shape this debate: corporations, researchers, consumers and patients. Furthermore, you will go off the beaten track by exploring the issue from the unique perspective of art and culture. After a lot of thinking, supplementing, deleting and adjusting, you will be asked to share a recommendation on how to regulate practices of disclosing genetic information, while taking into consideration the concept of genetic privacy. Your advice could serve as an eye-opener for policy makers!
This online learning experience is a spin-off of The Mind of the Universe documentary series created by the Dutch broadcasting company VPRO and professor Robbert Dijkgraaf, Princeton University. A number of universities in the Netherlands have used the open source material of the documentary series as a starting point to create similar experiences. In this module, we will introduce the subject of genetic privacy. In a time in which more and more genetic material and information is being stored in biobanks, research labs and private companies, the urgency to consider the concept of ‘genetic privacy’ becomes all the more pronounced. We will discuss different practices dedicated to the disclosure and application of genetic data, and we ask you to reflect on your initial stance towards these practices. 4 videos9 readings1 assignment3 discussion prompts1 plugin This part of the course will stimulate you to reflect critically on the different types of practices that work with genetic data, among which the Personal Genome Project initiated by George Church. You will get familiar with the ethical questions that these practices could raise. Furthermore, you will be encouraged to think about what the concept of genetic privacy means to you personally. What actually is genetic privacy? And what are the borders of its definition? How can we define the border between individual autonomy and public interest? Where do you place this border yourself? 2 videos3 readings2 discussion prompts This week we will enrich the ethical debate around genetic privacy by viewing the subject from the perspective of art and culture. We will see how artworks and cultural objects can foreground the ambiguities, emotions and (cultural) assumptions often neglected in mainstream debates around biotechnological developments. Moreover, we will explore the potential of art to allow new publics to arise in the discourse around genetic research. In this module, we would like to make you aware of how your own emotions and expectations might influence your stance on the subject. From there on, you can get to a more nuanced point of view towards the issue of genetic privacy. 4 videos4 readings3 discussion prompts Different groups of people with sometimes opposing interests take part in the public debate around the disclosure and application of genetic data. For example, patients, consumers, researchers, corporations, or politicians. These groups, or stakeholders, bring forward diverse arguments to advocate their position. Their arguments are often formed by emotions, gut feelings and cultural values. In order to regulate the disclosure of genetic data, while taking into consideration the notion of genetic privacy, we have to identify the different stakeholders and their values present in this debate. 5 videos2 readings1 assignment1 peer review2 discussion prompts We have come to the final phase of this course: the phase of finalization. Make sure to have completed your policy advice and to have published it on the discussion board. And for those who did the honours track, also share with us your infographic, video or other type of visual. Feel free to post some last, concluding, remarks or insights on this week's discussion board. 2 videos1 reading | 5 modules | Beginner level | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/mind-of-the-universe-genetic-privacy | null |
6,583 | Food & Beverage Management | 159,611 | 4.8 | 4,662 | Gabriele Troilo | Università Bocconi | ['Promotion And Marketing Communications', 'Food Marketing', 'Marketing', 'Brand Management'] | Managing a company in the food and beverage industry is a fascinating task. Food and beverage products are so deeply rooted in the culture of most countries that making and selling them is not only a matter of making and selling good and tasty products, but products that nurture people's body, soul, and heart. Given this, it's not difficult to see that the task quickly becomes complex.
The objective of this course is twofold: first, we will focus on contemporary challenges that managers and entrepreneurs in food and beverage businesses should be able to face; and second, we will provide models and tools to design and implement appropriate courses of action to satisfy customers and build an advantage over the competition.
This course is made up of four modules and an introduction, each exploring one dilemma that food and beverage companies face. You will be presented with a set of video lectures and guest speakers. These lectures combine an accessible introduction to specific topics integrated with interviews of managers and experts that will give precious insights and examples to the participants.
To enhance your learning experience with us, we will make a Documentary on the Excellences of the Modena District available for you, which is in a format that we have developed specifically for this course in order to give you the chance to experience first-hand the territory as our on-campus students usually do.
Each module is paired with an evaluated quiz and weekly discussion forums to reflect on the variety of the F&B world, its complexity, and the power of the network that we will build together during the course.
Successful completion of the quizzes is required for a course certificate as explained in the Grading Policy.
Below the guest speakers of the course:
Masterchef Italia Sky – Nils Hartmann, Head of Movie Channels at Sky Italia – www.masterchef.sky.it
Eataly - Paolo Bongiovanni, Marketing Director Italy – www.eataly.net
Berlucchi – Paolo Ziliani, Owner – www.berlucchi.it
Joia Restaurant – Alta Cucina Naturale – Pietro Leemann, Owner and Chef – www.joia.it
Branca – Nicolò Branca, Owner – www.branca.it
Barilla – Giuseppe Morici, President Region Europe – www.barilla.com
Proyecto Expo 2015 Chile – Guillermo Ariztia, Chile Pavillon Director – www.expomilan.cl
Winery Il Cavallante, Milano – Sergio Morpurgo, Owner
Heineken – Floris Cobelens, Marketing Director – www.heineken.com
TRDN – Martin Oetting, Managing Director – www.trnd.com
GROM – Federico Grom, Owner and Founder – www.grom.it/en
Tetra Pak – Matthew Hatton, Director Competitor Intelligence – www.tetrapak.com
BioHombre – Matteo Panini, CEO – www.hombre.it
Acetaia Maletti – Carmen & Claudio Maletti
Cantine Riunite & CIV – Vanni Lusetti, CEO; Francesca Benini, Sales & Marketing Manager; Elena Lottici, Export Manager; Mario Vandi, Brand Manager – www.riunite.it
GlemGas – Marco Guerzoni, Program Product Manager – www.glemgas.com
Bibendum Catering – LaFranceschetta58 – Sabrina Lazzereschi & Marta Pulini, Owners and Founders – www.bibendumcatering.it , www.franceschetta58.it
DISCLAIMER - Since most of the videos are conducted with those whose native language is not English, we have decided to sometimes preserve their more emphatic speech to keep a tighter match between the audio and the subtitles. How products generate value for the customer and how customers value products and their quality. 15 videos6 readings1 assignment2 discussion prompts The role of tradition and innovation along the customer experience in the food and beverage industry. The value of brands in the tradition and innovation dilemma. 9 videos1 reading1 assignment1 discussion prompt There is value in being local in a global market and there is value in being global in a local market. The role of distribution networks in international food and beverage markets. 13 videos1 reading1 assignment1 discussion prompt Leveraging on size to build a competitive advantage in food and beverage markets. The design of growth strategies in different markets. 12 videos1 reading1 assignment1 discussion prompt Here you can find some additional material to let you discover some practical insights of the food and beverage world. 3 videos1 reading1 discussion prompt | 5 modules | null | 13 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/food-beverage-management | 98% |
6,584 | Get Organized: How to be a Together Teacher | 89,772 | 4.7 | 661 | Maia Heyck-Merlin | Relay Graduate School of Education | [] | This course is designed for classroom teachers who juggle time-sensitive tasks and often-exhausting teaching schedules. With an eye toward long-term sustainability, The Together Teacher examines the purpose for planning ahead, provides tools for tracking time commitments, deadlines and tasks, and helps teachers develop a personal organization system that interacts with their day-by-day practices. All teachers, from the pen & paper list maker to the tech-savvy digital maven, will benefit from the no-nonsense approach to "togetherness" that's presented in this course. We don't care what format you use; we care that you know when you have free time during the day, and that you have a plan for using it. In this introductory session, you’ll explore the difference between ‘organization’ and ’togetherness,’ survey your own strengths and weaknesses and draft a goal for completing the course. 3 videos2 readings1 peer review The Weekly Worksheet helps teachers plan their lives for the next 5-7 days. This session introduces the worksheet, shows examples from real teachers, and asks learners to build their own. 5 videos1 peer review Calendars become comprehensive when they hold every important event and deadline in a teacher’s life. This session will show you how to build one. 5 videos1 reading1 peer review Here’s a secret: I hate post-it notes. This session will introduce the Upcoming To-Do List and provide a path toward ditching random lists and building one that you can always count on. 5 videos1 reading1 peer review Now that you’ve created a weekly worksheet, comprehensive calendar and upcoming to-do list, this session shows you how they all work together. Get ready for the Weekly Round-Up. 3 videos2 readings1 assignment1 peer review This session is full of optional resources you might want to explore. Download templates and watch great interviews from our teachers. 6 videos1 reading | 6 modules | null | 7 hours to complete (3 weeks at 2 hours a week) | https://www.coursera.org/learn/together-teacher | 97% |
6,585 | Health, Society, and Wellness in COVID-19 Times | 2,481 | 4.6 | 15 | Donna Mejia | University of Colorado Boulder | ['Education', 'COVID-19', 'health', 'Public Health', 'Health Care'] | You may be encountering a world unlike any other generation. The public health crisis of the COVID-19 pandemic has created a context of pervasive uncertainty, heightened anxiety, and social isolation that overlaps with a critical time of your own learning and development. The COVID-19 pandemic also has exacerbated long-standing inequalities and disparities, and recent events in the United States have laid bare historical and current realities of racism and systemic oppression. These challenges make starting college complicated in unprecedented ways, compounded by the fact that our university settings are themselves complex and rapidly changing. These challenges also present unique opportunities for interdisciplinary and practical learning. This course aims to help you navigate this world and the new conditions for learning with knowledge and skill. We designed the course with participatory methods, which means that we asked students to take a key role as partners with faculty in designing the course content, structure, and learning experiences. Together, we sought to integrate faculty expertise with the perspectives and experiences of students to make the course material relevant to your life.
In this class, we will explore perspectives on disease and society and on systemic racism and inequality with scholars in the natural sciences, social sciences, arts and humanities, education, communications and media, and engineering. Engaging these disciplines to examine the complex problems of the global pandemic and systemic racism will help you build conceptual and practical skills that you will use throughout college and beyond.
In conjunction with investigating health and social crises, new and ongoing, we also will explore the science and practice of individual and community wellness. You will learn skills relevant to emotions, relationships, common mental health concerns, and learning in the age of Zoom and remote classes. You will learn practices of cooperation, compassion, and anti-racism for community wellness.
Welcome to Health, Society, and Wellness in COVID-19 Times! This course was originally designed with undergraduates who are just beginning college in mind. They are unique in starting college during the COVID-19 pandemic and are encountering a world unlike any other generation. These challenges make starting college complicated in unprecedented ways, and this course was designed to help them navigate this world and these new conditions for learning with knowledge and skill. 11 videos8 readings4 assignments The ways we connect with others have been dramatically disrupted by the COVID-19 pandemic. For our safety, we must remain physically distant from others, and across this module we learn how to stay connected to others and ourselves. 8 videos9 readings4 assignments We hope that this module will first allow you to be an informed consumer of public health guidance and reflect on the context of public health challenges and actions that impact our lives as members of your community, the country, and the world. Second, we hope this module will equip you to think critically about models that are shared by media or public agencies as well as about how actions by and characteristics of individuals and communities can impact the future course of COVID-19. 4 videos6 readings2 assignments Module Four asks learners to thoughtfully consider the social inequities perpetuated by the COVID-19 pandemic. 15 videos13 readings7 assignments | 4 modules | Beginner level | 52 hours to complete (3 weeks at 17 hours a week) | https://www.coursera.org/learn/health-society-and-wellness-in-covid-19-times | null |
6,586 | NASM Personal Fitness Trainer Professional Certificate | Enrollment number not found | Rating not found | null | Casey DeJong | National Academy of Sports Medicine | ['Nutritional Evaluation', 'Fitness Assessments', 'Exercise Cueing', 'Exercise Programming', 'Motivational Coaching', 'Nutritional Evaluation', 'Fitness Assessments', 'Exercise Cueing', 'Exercise Programming', 'Motivational Coaching'] | Summarize the foundational principles of exercise science and their influence on fitness goals. Develop and implement exercise programs that prioritize the specific goals and aspirations of a diverse clientele. Differentiate program modifications for special populations required for varying client abilities and safety. Demonstrate essential communication skills and techniques required to connect, motivate, and inspire clients. Applied Learning Project The NASM Personal Fitness Trainer Professional Certification includes 12 projects and activities that will equip you with knowledge and skills to effectively coach and train an array of clientele and fitness goals. The projects integrate authentic and real-world scenarios faced by the everyday Personal Fitness Trainer including the development of a client-centric approach to designing and implementing exercise programming through a systematic approach to conducting, observing, and interpreting fitness assessments. You will also assess your own eating habits and create a nutritional plan designed to provide sustainable change, providing you with insight on the importance and impact proper nutrition has on success toward reaching fitness goals. Identifying the components and purposes of fitness assessments. Evaluating client information to inform individualized training programs. Differentiating between the roles and limitations of fitness professionals and healthcare providers. Explain the roles of the nervous, skeletal, and muscular systems in human movement. Apply principles of biomechanics and kinesiology to optimize movement patterns. Design individualized fitness programs using knowledge of anatomy, physiology, and biomechanics. Differentiate between aerobic and anaerobic exercises and design personalized training programs using the FITTE-VP principle. Integrate flexibility and strength training to improve dynamic range of motion and stabilize force production. Apply stage training principles to enhance cardiorespiratory fitness and prevent overtraining. Describe the principles of energy balance and the first law of thermodynamics and apply these concepts to weight management strategies. Evaluate the role of macro- and micronutrients in body composition and overall health and assess their impact on energy levels and metabolism. Analyze genetic, environmental, and behavioral factors contributing to weight gain and loss and practical weight management approaches. In this comprehensive review and exam preparation course, we will build upon the knowledge and skills gained in the previous four courses of the Personal Fitness Trainer Program. As aspiring fitness professionals, you have already completed courses on getting started in the field, anatomy, physiology, kinesiology, understanding fitness programming, and nutrition and weight management. Throughout this course, we will focus on reviewing and reinforcing the key concepts covered in the previous courses, ensuring a solid understanding of the foundations required by the fitness industry to become a Personal Fitness Trainer.
In addition to refreshing your knowledge, this course will specifically prepare you for the certification exam by covering the essential topics, relevant material, and exam-specific criteria to pass your certification exam.
By the end of this course, you will feel confident and well-prepared to tackle the certification exam while affirming your knowledge and skills in the following topics:
• The state of the industry and the fitness professional
• Anatomy, physiology, and kinesiology
• Fitness programming
• Nutrition strategies
Note: To be successful in this course, you will need to have completed the first four courses in the Personal Fitness Trainer Professional Certificate. | 5 course series | Beginner level | 2 months (at 10 hours a week) | https://www.coursera.org/professional-certificates/nasm-personal-fitness-trainer | null |
6,587 | GIS, Mapping, and Spatial Analysis Specialization | 51,219 | 4.9 | 2,427 | Don Boyes | University of Toronto | ['Spatial Analysis', 'Geographic Information System (GIS)', 'Mapping', 'Cartography', 'Esri', 'Spatial Analysis', 'Geographic Information System (GIS)', 'Mapping', 'Cartography', 'Esri'] | This Specialization is for those new to mapping and GIS, as well as anyone looking to gain a better understanding of how it all works and why. You will learn practical skills that can be applied to your own work using cutting-edge software created by Esri Inc., the world's leading GIS company and our industry partner. PLEASE NOTE: THE SOFTWARE IS NO LONGER PROVIDED WITH THIS COURSE. YOU WILL HAVE TO OBTAIN IT ON YOUR OWN.These courses were designed to be taken with ArcMap, which is no longer supported by Esri and so you may not be able to obtain it, unless your institution or company already has it. Applied Learning Project The courses are based on the idea that you will get the most out of the learning experience if you can tailor your work to your own interests. You will learn how to create GIS data, how to find and evaluate data found online, how to design an effective map, and how to filter data and analyze spatial relationships, and how to work with satellite imagery. In the capstone course, you will apply everything you have learned by either building a portfolio of your work through "mini projects" or planning and executing one large project. Your capstone work will then be presented in a web-based story map that you can share with your friends, family, and colleagues. Get started learning about the fascinating and useful world of geographic information systems (GIS)! In this first course of the specialization GIS, Mapping, and Spatial Analysis, you'll learn about what a GIS is, how to get started with the software yourself, how things we find in the real world can be represented on a map, how we record locations using coordinates, and how we can make a two-dimensional map from a three-dimensional Earth. In the course project, you will create your own GIS data by tracing geographic features from a satellite image for a location and theme of your choice. This course will give you a strong foundation in mapping and GIS that will give you the understanding you need to start working with GIS, and to succeed in the other courses in this specialization. This course is for anyone who wants to learn about mapping and GIS. You don't have to have any previous experience - just your curiosity! The course includes both practical software training and explanations of the concepts you need to know to make informed decisions as you start your journey to becoming a GIS analyst.
You will need a Windows computer with ArcGIS Desktop installed. (software is not provided) In this course, you will learn how to find GIS data for your own projects, and how to create a well-designed map that effectively communicates your message. The first section focuses on the basic building blocks of GIS data, so that you know what types of GIS files exist, and the implications of choosing one type over another. Next, we'll discuss metadata (which is information about a data set) so you know how to evaluate a data set before you decide to use it, as well as preparing data by merging and clipping files as needed. We'll then talk about how to take non-GIS data, such as a list of addresses, and convert it into "mappable" data using geocoding. Finally, you'll learn about how to take data that you have found and design a map using cartographic principles. In the course project, you will find your own data and create your own quantitative map. Note: software is not provided for this course. In this course, you will learn how to analyze map data using different data types and methods to answer geographic questions. First, you will learn how to filter a data set using different types of queries to find just the data you need to answer a particular question. Then, we will discuss simple yet powerful analysis methods that use vector data to find spatial relationships within and between data sets. In this section, you will also learn about how to use ModelBuilder, a simple but powerful tool for building analysis flowcharts that can then also be run as models. You will then learn how to find, understand, and use remotely sensed data such as satellite imagery, as a rich source of GIS data. You will then learn how to analyze raster data. Finally, you will complete your own project where you get to try out the new skills and tools you have learned about in this course. Note: software is not provided for this course. In this capstone course, you will apply everything you have learned by designing and then completing your own GIS project. You will plan out your project by writing a brief proposal that explains what you plan to do and why. You will then find data for a topic and location of your choice, and perform analysis and create maps that allow you to try out different tools and data sets. The results of your work will be assembled into an Esri story map, which is a web site with maps, images, text, and video. The goal is for you to have a finished product that you can share, and that demonstrates what you have learned. Note: software is not provided for this course. | 4 course series | Beginner level | 2 months (at 10 hours a week) | https://www.coursera.org/specializations/gis-mapping-spatial-analysis | null |
6,588 | Supply Chain Excellence | 19,461 | 4.7 | 389 | Rudolf Leuschner, Ph.D. | Rutgers the State University of New Jersey | [] | Supply chain leaders manage products, information, and finances to create an efficient, effective supply chain. With this online certificate program, you’ll study at the graduate level to gain the knowledge you need to advance in your career. You’ll gain a thorough understanding of the three distinct flows that create supply chain excellence in any company. Learn from lectures, readings, discussions and quizzes designed by faculty from the Department of Supply Chain Management at Rutgers University. You’ll also benefit from graded feedback from the instructor and live sessions with groups of high-caliber peers.
This course will provide you with an introduction and head-start to the Supply Chain Excellence MasterTrack. Supply Chains are made up of a network of companies from the initial raw materials to the ultimate consumer of the finished product. Within this network of companies, there are three ongoing flows: products, information, and finances. To properly understand the supply chain and manage it, you need to understand all of the flows. The first of five courses in this Specialization will focus on the flow of products, information, and finances in the Supply Chain. This module will cover not only the introduction of the course but also the overall product flow goals that supply chain executives are trying to accomplish when building a supply chain. 15 videos6 readings5 assignments3 discussion prompts The second of three flows is how information moves in the Supply Chain. In this module, you will learn how information enhances the supply chain. Next, we will cover information systems within the firm. Lastly, we will cover how information reaches customers. Specifically, we will cover blockchain technology and artificial intelligence, as well as machine learning. 12 videos5 readings4 assignments2 discussion prompts Welcome to the third and final flow in the supply chain: finances. In this module, we introduce the financial aspect of SCM, while covering the basic financial statements as well as the cash conversion cycle, an important metric that combines SCM and finance. 10 videos8 readings4 assignments3 discussion prompts This module introduces the capstone project that you will complete over the course of this specialization. The project will be due at the end of the fifth course, but each of the following courses will have checkpoints that will provide you with feedback. 3 readings1 discussion prompt | 4 modules | Intermediate level | null | https://www.coursera.org/learn/supply-chain-excellence | 93% |
6,589 | Math Prep: College & Work Ready | 36,690 | 4.5 | 233 | Samantha Nikolai | University of North Texas | [] | This MOOC will cover four main categories: Number Sense, Elementary Algebra, Intermediate Algebra, and Geometry and Statistics. The purpose of this course is to review and practice key concepts to prepare learners for college and the workforce. This course will help learners review and practice key concepts in preparation for the math portion of the Texas Success Initiative Assessment 2.0 (TSI2). The TSI2 is a series of placement tests for learners enrolling in public universities in Texas. Please note, as the TSI assesses your math knowledge spanning from elementary math concepts to statistics, the content presented is extensive. You will want to allow yourself adequate time to study and prepare for the TSI2 assessment. This module includes an introduction to the course and three lessons regarding number sense. There is a graded quiz at the end of each lesson to reinforce the concepts. 15 readings3 assignments This module contains four lessons on elementary algebra concepts including, solving linear equations and inequalities, math models, graphing, and systems of equations. 16 readings4 assignments This module contains five lessons in intermediate algebra. This is the most extensive module, please allow yourself a reasonable time frame to grasp these concepts. 25 readings5 assignments This is the last module. It contains two lessons on geometry and statistics. 8 readings2 assignments | 4 modules | Beginner level | null | https://www.coursera.org/learn/tsi-math-prep | 95% |
6,590 | Certified Kubernetes Security Specialist (CKS) Course | Enrollment number not found | Rating not found | null | Packt - Course Instructors | Packt | ['CKS', 'Cluster setup', 'CKAD', 'Kubernetes', 'Supply Chain Security'] | This Kubernetes Security Specialist course offers foundational knowledge through concepts and hands-on demonstrations of securing a Kubernetes cluster and its applications. Emphasizing practical skills, it requires a running Kubernetes cluster for participation. The course covers all security aspects in Kubernetes, including cluster setup, ingress creation and security, and cluster hardening with RBAC, roles, and role bindings. It delves into system and kernel hardening, minimizing microservice vulnerabilities, supply chain security, monitoring, logging, and runtime security.
By the end, learners will have comprehensive knowledge to become Kubernetes security specialists. Key topics include creating a Kubernetes cluster, setting default deny NetworkPolicy, installing the Kubernetes Dashboard, verifying Kubernetes releases, and managing roles and role bindings.
Designed for Kubernetes administrators and security specialists aiming to master the Certified Kubernetes Security Specialist certification, this course assumes prior knowledge of Kubernetes administration. In this module, we will guide you through the steps to become a Certified Kubernetes Security Specialist (CKS). You'll learn about the certification process, the requirements, and the best resources to help you succeed in your certification journey. 1 video1 reading In this module, we will cover the creation of a Kubernetes cluster and delve into some common errors you might encounter. You'll learn how to set up your cluster and troubleshoot issues to maintain a stable and functional environment. 1 video In this module, we will explore the use of Network Policies to restrict access at the cluster level. You'll learn about default deny policies, how to set up egress and ingress rules, and how to create policies for different namespaces. 4 videos1 assignment In this module, we will focus on minimizing the use and access to GUI elements in Kubernetes. You'll learn how to install the Kubernetes Dashboard, understand the risks of insecure access, and implement RBAC to enhance security. 3 videos In this module, we will guide you through the creation and securing of Ingress objects in Kubernetes. You'll learn how to set up Ingress and apply security controls to protect your cluster. 2 videos In this module, we will discuss how to access and protect node metadata in a Kubernetes cluster. You'll learn about the security implications and how to use Network Policy to safeguard node endpoints. 2 videos1 assignment In this module, we will explore the CIS benchmark for Kubernetes security and how to use kube-bench to review and improve your cluster's security configuration. 1 video In this module, we will cover the importance of verifying platform binaries before deployment. You'll learn how to delete custom networks and verify the apiserver binary to ensure your cluster's security. 2 videos In this module, we will focus on RBAC for cluster hardening. You'll learn about roles, rolebindings, and how to manage accounts and Certificate Signing Requests to enhance security. 5 videos1 assignment In this module, we will discuss the cautious use of Service Accounts in Kubernetes. You'll learn about custom Service Accounts, disabling their mounting, and limiting their permissions with RBAC. 4 videos In this module, we will explore methods to restrict API access for cluster hardening. You'll learn about enabling/disabling anonymous access, performing secure API requests, and using Node Restriction Admission Controller. 4 videos In this module, we will cover the upgrade process for Kubernetes clusters. You'll learn how to verify Node Restriction, create clusters with older versions, and upgrade to ensure your cluster remains secure and up-to-date. 4 videos1 assignment In this module, we will focus on managing Kubernetes secrets and understanding their vulnerabilities. You'll learn how to create secrets, hack them to understand their weaknesses and implement ETCD encryption for protection. 5 videos In this module, we will explore the use of container runtime sandboxes in a multi-tenant environment. You'll learn about calling the Linux kernel, the OCI, and how to use Crictl and create Runtime Classes. 4 videos In this module, we will delve into OS-level security domains for microservices. You'll learn how to set container users and groups, enforce non-root policies, manage privileged containers, and create Pod Security Policy. 5 videos1 assignment In this module, we will cover mTLS and its implementation. You'll learn the basics of mTLS and how to create a sidecar proxy to secure communications. 2 videos In this module, we will explore the Open Policy Agent (OPA) and its use in Kubernetes security. You'll learn about installing an OPA gatekeeper, enforcing policies, and implementing Deny All policies and namespace label enforcement. 4 videos In this module, we will focus on supply chain security by reducing image footprint. You'll learn how to use multi-stage builds and secure and harden container images. 2 videos1 assignment In this module, we will explore static analysis for supply chain security. You'll learn about using Kubesec, performing static analysis with Docker images, and utilizing OPA Conftest. 4 videos In this module, we will cover image vulnerability scanning using Trivy. You'll learn how to scan container images to identify and mitigate vulnerabilities. 1 video In this module, we will focus on securing the supply chain in Kubernetes. You'll learn about image digests and how to whitelist registries using OPA to enhance security. 2 videos1 assignment In this module, we will explore behavioral analytics at the host and container levels. You'll learn how to use Strace, access /proc, and environment variables, and implement Falco for threat detection and monitoring. 7 videos In this module, we will discuss the immutability of containers at runtime. You'll learn about the concept of immutability, how to implement Startup Probe, and use Security Context to render containers immutable. 3 videos1 assignment In this module, we will cover auditing for runtime security in Kubernetes. You'll learn about the importance of auditing, how to implement audit policies, enable audit logging, and check logs for compliance. 4 videos In this module, we will focus on system hardening through kernel hardening techniques. You'll learn how to implement AppArmor and Seccomp profiles for various Kubernetes components to enhance overall security. 7 videos2 assignments | 25 modules | Advanced level | 9 hours to complete (3 weeks at 3 hours a week) | https://www.coursera.org/learn/packt-certified-kubernetes-security-specialist-cks-course-whn0d | null |
6,591 | CUDA at Scale for the Enterprise | 2,133 | 3.2 | 11 | Chancellor Thomas Pascale | Johns Hopkins University | ['Cuda', 'Algorithms', 'GPU', 'C/C++', 'Nvidia'] | This course will aid in students in learning in concepts that scale the use of GPUs and the CPUs that manage their use beyond the most common consumer-grade GPU installations. They will learn how to manage asynchronous workflows, sending and receiving events to encapsulate data transfers and control signals. Also, students will walk through application of GPUs to sorting of data and processing images, implementing their own software using these techniques and libraries. By the end of the course, you will be able to do the following:
- Develop software that can use multiple CPUs and GPUs
- Develop software that uses CUDA’s events and streams capability to create asynchronous workflows
- Use the CUDA computational model to to solve canonical programming challenges including data sorting and image processing
To be successful in this course, you should have an understanding of parallel programming and experience programming in C/C++.
This course will be extremely applicable to software developers and data scientists working in the fields of high performance computing, data processing, and machine learning. The purpose of this module is for students to understand how the course will be run, topics, how they will be assessed, and expectations. 3 videos1 reading1 programming assignment2 discussion prompts1 ungraded lab In professional settings, use of one CPU managing one GPU, is not a viable configuration to solve complex challenges. Students will apply CUDA capabilities for allowing multiple CPUs to communicate and manage software kernels on multiple GPUs. This will allow for scaling the size of input data and computational complexity. Students will learn the advantages and limitations of this form of synchronous processing. 7 videos2 programming assignments1 peer review1 discussion prompt2 ungraded labs Students will learn to utilize CUDA events and streams in their programs, to allow for asynchronous data and control flows. This will allow more interactive and long-lasting software, including analytic user interfaces, near live-streaming video or financial feeds, and dynamic business processing systems. 5 videos2 readings1 programming assignment1 discussion prompt1 ungraded lab The purpose of this module is for students to understand the basis in hardware and software that CUDA uses. This is required to appropriately develop software to optimally take advantage of GPU resources. 11 videos1 reading1 programming assignment1 discussion prompt1 ungraded lab The purpose of this module is for students to understand the principles of developing CUDA-based software. 7 videos1 peer review1 discussion prompt1 ungraded lab | 5 modules | Intermediate level | 28 hours to complete (3 weeks at 9 hours a week) | https://www.coursera.org/learn/cuda-at-scale-for-the-enterprise | null |
6,592 | GenerativeAI for Customer Success | Enrollment number not found | Rating not found | null | Amit Kooner | Coursera Instructor Network | ['Data Analysis and Interpretation', 'Problem-Solving with AI', 'Strategic Framework Development', 'Customer Engagement Enhancement', 'GenAI Application Development'] | Did you know that companies using Generative AI in customer success see a significant improvement in customer satisfaction and operational efficiency? Discover how you can leverage this technology to transform your customer success strategies. This short course empowers customer success professionals and managers to enhance their strategies using Generative AI (GenAI) technologies.
By completing this course, you'll be able to apply advanced GenAI tools to streamline your customer support processes, improve customer engagement, and increase overall employee satisfaction the very next day at work.
By the end of this course, you will be able to:
1.Explain how GenAI can be used to improve customer success processes in your organization.
2.Resolve ethical and data privacy challenges when using GenAI in customer success strategies.
3.Create a plan to integrate GenAI into your customer success operations.
This course is unique because it combines theoretical insights with practical applications, including real-world examples and case studies, to provide a comprehensive understanding of GenAI in customer success.
To be successful in this course, you should have a background in customer success, customer service, or a related field, and a basic understanding of AI technologies. Welcome to Generative AI for Customer Success! This course empowers customer success professionals and managers to enhance their strategies using Generative AI (GenAI) technologies, transforming your approach to customer success. 1 video1 reading This lesson will cover the various ways GenAI can be applied to customer success operations. Topics include enhancing customer engagement, automating support processes, and providing personalized customer experiences. Learners will explore the key capabilities of GenAI tools that can revolutionize customer success. 2 videos1 reading This lesson will delve into the potential limitations and ethical considerations when implementing GenAI in customer success. It will address common challenges such as data privacy concerns, integration issues, and the importance of maintaining a human touch in customer interactions. 2 videos1 reading In this lesson, learners will be guided through the process of creating a comprehensive framework for integrating GenAI into their customer success strategies. The lesson will cover best practices, step-by-step implementation guides, and how to align GenAI applications with business goals to maximize benefits. 4 videos1 reading1 assignment | 4 modules | Intermediate level | 1 hour to complete | https://www.coursera.org/learn/generativeai-for-customer-success | null |
6,593 | Global Energy and Climate Policy | 35,752 | 4.7 | 665 | Harald Heubaum | University of London | [] | The Global Energy and Climate Policy course offers an introduction to the theoretical and practical understanding of how energy and climate change policies are designed, shaped, advocated and implemented. As energy markets go truly global, domestic energy policies are becoming more and more entangled with wider issues of international governance. Concurrently, the urgent need to mitigate and adapt to climate change and transition to a low-carbon future is adding a further layer of complexity. The course is aimed broadly at people interested in learning more about interconnected issues in energy and climate policy globally. It assumes a level of interest but no necessary previous knowledge. However, the course also offers sufficient up to date research and new critical perspectives to be of interest to people with expertise in or academic familiarity with the topic as well.
The main aim of the course is to provide this wide-ranging introduction in a self-contained, but in-depth form, alongside the important practical skills necessary to understand and discuss energy and climate policy, and lay the groundwork for greater engagement in the future – either through academic study, in the public, private or not-for-profit sectors. This week introduces the concept of a carbon-constrained world, considering how it links to energy policies and the future of fossil fuels. It will also discuss the role of technologies such as carbon capture and storage (CCS) and how different stakeholders, in developed and developing countries, perceive the need to decarbonize energy systems. 6 videos3 readings1 peer review1 discussion prompt This week introduces the competing cases on economic, environmental and political aspects of nuclear power as part of the global energy mix and its role in meeting both energy security and climate change mitigation needs. 3 videos1 reading1 peer review1 discussion prompt This week discusses the growing role of renewable energy sources such as wind and solar. It introduces the range of fiscal and other policy tools that governments’ use to promote an increase in the production and consumption of renewable energy. 3 videos1 reading1 peer review This week addresses how energy and climate governance are becoming more inter-related. Climate change is a global collective action problem whereas energy is more often associated with state based priorities. However, emissions from fossil fuel energy have global impacts and pose a challenge to the international community at-large. 2 videos1 reading1 peer review This week provides an introduction to the various conceptualisations of energy security and considers the implications these can have on energy and climate change strategies. 3 videos1 reading1 peer review For the week 6 optional exercise, you may draw upon your learning from previous weeks to understand how climate change is changing the focus of energy policy. Specifically, you are asked to consider this in light of the 2015 Paris Agreement on climate change. 4 videos1 reading1 peer review | 6 modules | Beginner level | null | https://www.coursera.org/learn/globalenergyandclimatepolicy | 97% |
6,594 | How to Conduct a Social Impact Assessment with SROI | Enrollment number not found | Rating not found | null | Iain Steel | Coursera Instructor Network | ['SROI Methodology Application', 'Outcome Valuation', 'Real-World Scenario Application', 'Social Impact Assessment', 'Result Interpretation and Communication'] | In this engaging course, you'll learn how to identify and define the goals and scope of your Social Impact Assessments (SIA), map out the social, environmental, and economic impacts, and accurately value the outcomes. Discover how to quantify the true value of your projects using the Social Return on Investment (SROI) methodology and unlock the potential for positive change. This course is tailored for a diverse group of professionals, including program managers, project leaders, social impact analysts or evaluators, procurement practitioners, and finance and accounting professionals. It also caters to stakeholder engagement or communication specialists and anyone involved in the management or decision-making of these disciplines. These individuals will benefit from learning how to conduct thorough social impact assessments and apply the Social Return on Investment (SROI) methodology in their respective fields.
To gain the most from this course, participants should have a basic understanding of social value concepts and be familiar with evaluation principles. This foundational knowledge will enable learners to grasp the more advanced topics covered in the course and effectively apply the SROI methodology to their projects.
After completing this course, learners will be able to define and explain the concept of social value and describe the principles of the SROI methodology. They will also be equipped to interpret and communicate SROI results effectively. Additionally, participants will gain the skills to apply the concepts learned in real-world scenarios, enhancing their ability to create and measure social impact through their projects and initiatives. In this engaging course, you'll learn how to identify and define the goals and scope of your Social Impact Assessments (SIA), map out the social, environmental, and economic impacts, and accurately value the outcomes. 11 videos4 readings1 assignment2 discussion prompts | 1 module | Intermediate level | 1 hour to complete | https://www.coursera.org/learn/how-to-conduct-a-social-impact-assessment-with-sroi | null |
6,595 | Automation Business Analysis - Concepts and Principles | 13,139 | 4.7 | 68 | UiPath | UiPath | ['Process Assessment', 'Elicitation Techniques', 'Business Analysis', 'Process Definition Document', 'Process Analysis'] | Change is inevitable and so are the digital disruptions in every industry. What’s important from a business perspective is to align and adapt to such digital disruptions. In today’s competitive business market, the key to success is wise data-driven decisions, made based on reliable information. As part of your work responsibilities, you would have discovered, synthesized, and analyzed information collected from various sources at some point in time. This is Business Analysis. It is the set of tasks, knowledge, and techniques required to identify business needs and determine solutions to enterprise business problems. Like we said earlier, a plethora of digital disruptions are taking place in every industry. We are witnessing the growth of a digital-ready culture with automation at its helm. Automation generates productivity boosts at the process, workflow, and workforce levels, thereby shaping organizational growth and longevity. With organizations moving towards automation, it’s of paramount importance for a Business Analyst to be skilled with the science of automation to facilitate communication and collaboration with relevant stakeholders. As a strong proponent of Robotic Process Automation (RPA), UiPath brings in the Automation Business Analyst role, who will be responsible for analyzing business requirements, identifying possible automatable processes as well as potential pitfalls, along with assessing the impact of automation implementation. Through this course, you will learn techniques for ensuring project success at every step-from understanding the enterprise problems or goals, to designing solutions, devising strategies, and thereby, driving change. Along with the foundational business analysis skills, you will also learn how to incorporate business analysis deliverables and models into an RPA specific Process Definition Document (PDD), which is the representation of ‘as-is’ business processes that are chosen for automation. Throughout this course the terms ‘Robotic Process Automation’ (RPA) and ‘Automation’ have been used interchangeably. Aligned with IIBA's BABOK, this course will help you take the first step in your Business Analyst journey and will aid you with preparation for ECBA (Entry Certificate in Business Analysis).To complete this course, you will need IIBA’s BABOK Guide, which can be accessed at no additional cost. Business analysis is a professional discipline of identifying business needs and determining solutions to business problems. Through this course, you can acquire business analysis skills which span across six key knowledge areas, namely- Business Analysis Planning and Monitoring, Elicitation and Collaboration, Requirements Lifecycle Management, Strategy Analysis, Requirements Analysis and Design Definition, and Solution Evaluation. All this through the perspective of Automation! This is an industry relevant course which will help you transition to practical and an authentic application of theory, techniques and tools, and also develop in-demand business analysis skills to support the development of RPA/Automation solutions. 4 videos5 readings This module aims to provide anyone entering the field of business analysis with a comprehensive foundation of the purpose, the need, and the value of the Business Analysis domain. It will also introduce learners to requirements – the BAs primary output. 15 videos1 assignment This module provides learners with an understanding of the Business Analyst’s role in the context of the suggested approach to defining requirements and specifications to support a UiPath RPA initiative. 19 videos1 assignment The purpose of this module is to provide learners with practical, hands-on activities and case study materials to proceed through two key phases of Business Analysis work: Strategy Analysis, and Requirements Scope Definition. Learners will create models to define Domain, Process, and Scope. 68 videos1 assignment This module provides learners with more hands-on, practical learning through case study-based activities and assignments, with the focus on defining the details of requirements specifications once a solution approach has been confirmed. 47 videos1 assignment This module demonstrates how learners will summarize their work, and package all information with the appropriate Requirements Templates and Tools. It will also summarize best practice for managing requirements, traceability, and signing off with key stakeholders. Finally, it will demonstrate how contents from Requirements Templates will be used to populate the PDD.
After the completion of this course, you will earn the course certificate and have started your preparation to achieve IIBA’s Entry Certificate in Business Analysis™ (ECBA™). 8 videos2 assignments | 6 modules | Beginner level | 14 hours to complete (3 weeks at 4 hours a week) | https://www.coursera.org/learn/automation-business-analyst | null |
6,596 | Salesforce Admin Certification Specialization | Enrollment number not found | 4.6 | 9 | LearnKartS | LearnKartS | ['Security Controls', 'Object Manager', 'Salesforce Service Cloud', 'Configuration and setup', 'Workflow Automation', 'Analytics management', 'Lightning App Builder', 'Data Management', 'Process Automation', 'Security Controls', 'Object Manager', 'Salesforce Service Cloud', 'Configuration and setup', 'Workflow Automation', 'Analytics management', 'Lightning App Builder', 'Data Management', 'Process Automation'] | TheSalesforce Administrator Certificationspecialization is perfect for individuals seeking to develop proficiency in Salesforce administration and management. Also, the course isaligned with the Salesforce Administrator exam (CRT 101)and will help you prepare comprehensively for the certification exam as well. This SFDC Certified Administrator specialization is a 3-course series and does not require any prerequisites. Through these three courses, you will learnSalesforce fundamentals, data management, security and access, automation, workflow management, and more, which will prepare you to manage and configure Salesforce environments efficiently in modern business settings. The Salesforce Admin Certification specialization is designed from absolute scratch, making it a go-to course for anyone new to the field of Salesforce Administration. This course hashands-on demos,quizzes, andexam simulatorsfor exam practice, and high-quality theory content videos prepared by industry experts. Applied Learning Project This Salesforce Admin Certification specialization offers20 demosto equip participants with essential skills for proficient Salesforce administration. Key projectsinclude creating users, profiles, and permission sets, generating email templates and auto-response rules, and managing accounts, contacts, and opportunities. Learners will gain hands-on experience in creating quotes with products, managing case escalations, utilizing the Experience Builder, and creating lead source reports, new account reports, and dashboards. Learners will also masterrole hierarchy, sharing rules, user profiles, data loader usage, and email alert workflow rules. Advanced tasks includesetting up approval processes, creating sandboxes and change sets for deployment, and building community pages. Thesetasks prepare learners to effectively manage Salesforce environments, optimize performance, and ensure data quality, supported by industry-recognized certification upon completion. Grasp the essentials of Cloud Computing and their business applications. Understand the core principles of Customer Relationship Management (CRM). Master Salesforce navigation and usage, from setting up accounts to utilizing advanced features. Distinguish between Salesforce Classic and Lightning experiences. How to create and customize various types of reports, including those for leads, contacts, and accounts. Learn techniques for developing dynamic dashboards with advanced data visualization methods. Learn skills in utilizing advanced reporting features such as chart creation, data summarization, and report exporting. Learn methods for customizing reports and use of the Lightning Report Builder for improved reporting capabilities. Develop expertise in enforcing security through role hierarchy, permission sets, and object security configurations. Utilize Chatter to facilitate collaboration and enable seamless Salesforce-to-Salesforce communication. Efficiently manage user profiles, roles, and page layouts to optimize user administration. Acquire proficiency in data management, encompassing loading, manipulation, and schema construction. | 3 course series | Beginner level | 2 months (at 3 hours a week) | https://www.coursera.org/specializations/salesforce-admin-certification-course | null |
6,597 | Student Debt Crisis Teach-Out | Enrollment number not found | Rating not found | null | Teach-Out Experts | University of Michigan | [] | Student loan debt in the United States has skyrocketed to over $1.75 trillion, and that number is only expected to grow as tuition costs increase. While working toward student loan forgiveness is an option for some, many have been left with high interest rates and large monthly payments. In the Student Debt Crisis Teach-Out™, examine the factors leading to the student loan debt crisis, review the state of student loan forgiveness legislation, and explore how federal loan forgiveness could impact the economy and higher education. Consider varying opinions on the state of the crisis and hear from those looking to eliminate student loan debt to those suggesting forgiveness in limited instances. Featuring the expertise of researchers, lawyers, economists, student loan advocates, and financial aid advisors, this Teach-Out provides resources to discuss student loan debt, forgiveness plans and policies, and alternatives to higher education. This Teach-Out will answer:
- What is student debt in the U.S.? Is it a “crisis”?
- How do student loan models work and what types of repayment options exist?
- What are alternative models of student loans?
- What is student loan forgiveness? How could it potentially impact the economy and society?
- What are alternative pathways to higher education?
- What can individuals do to navigate their student loan debt?
All contents of this Teach-Out are licensed as CC BY-SA with the exception of the course image. This module provides an introduction to the Student Debt Crisis Teach-Out and how to navigate the Teach-Out. 2 videos7 readings2 discussion prompts This module provides an introduction to the historical context around student debt in the United States and how higher education is funded in the U.S. and around the world. 9 videos5 readings2 discussion prompts This module discusses what student loans are, the impact they have, how they work, and the current state of policies involving student loan repayment and forgiveness. 10 videos6 readings2 discussion prompts This module discusses the potential impact of student loan forgiveness, alternative student loan policies, and considerations for redesigning student loans. 9 videos5 readings3 discussion prompts This module discusses the future of higher education, including the return on investment in a college degree and alternative pathways to higher education. 6 videos3 readings1 discussion prompt This module explores a number of resources and next steps for learners to explore, depending on their own personal situation and goals. 7 videos12 readings1 discussion prompt | 6 modules | null | 5 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/student-debt-crisis-teach-out | null |
6,598 | Epidemics | 12,079 | 4.9 | 227 | Gabriel M. Leung (HKU) | The University of Hong Kong | [] | “If history is our guide, we can assume that the battle between the intellect and will of the human species and the extraordinary adaptability of microbes will be never-ending.” (1) Despite all the remarkable technological breakthroughs that we have made over the past few decades, the threat from infectious diseases has significantly accelerated. In this course, we will learn why this is the case by looking at the fundamental scientific principles underlying epidemics and the public health actions behind their prevention and control in the 21st century.
This course covers the following four topics:
1. Origins of novel pathogens;
2. Analysis of the spread of infectious diseases;
3. Medical and public health countermeasures to prevent and control epidemics;
4. Panel discussions involving leading public health experts with deep frontline experiences to share their views on risk communication, crisis management, ethics and public trust in the context of infectious disease control.
In addition to the original introductory sessions on epidemics, we revamped the course by adding:
- new panel discussions with world-leading experts; and
- supplementary modules on next generation informatics for combating epidemics.
--------------------------------------------------------
(1) Fauci AS, Touchette NA, Folkers GK. Emerging Infectious Diseases: a 10-Year Perspective from the National Institute of Allergy and Infectious Diseases. Emerg Infect Dis 2005 Apr; 11(4):519-25.
What you'll learn
- Demonstrate knowledge of the origins, spread and control of infectious disease epidemics
- Demonstrate understanding of the importance of effective communication about epidemics
- Demonstrate understanding of key contemporary issues relating to epidemics from a global perspective 13 videos7 readings4 assignments4 discussion prompts 15 videos2 readings5 assignments2 discussion prompts 8 videos2 readings1 assignment2 discussion prompts 7 videos3 readings6 assignments2 discussion prompts Theme One descriptions 9 videos2 readings4 assignments2 discussion prompts Theme Two Summary 5 videos2 readings3 assignments2 discussion prompts 7 videos3 readings4 assignments2 discussion prompts Theme Three Summary 15 videos2 readings7 assignments2 discussion prompts 18 videos2 readings10 assignments2 discussion prompts Theme Four Summary 8 videos4 readings2 assignments3 discussion prompts | 10 modules | Beginner level | null | https://www.coursera.org/learn/hkuepidemics | 97% |
6,599 | Introduction to Privacy - Part 1 | 1,631 | 4.6 | 19 | Ralph O'Brien | Infosec | [] | This course will explore how to create a privacy program including the dangers, challenges and methods. We will also explore concepts like Privacy governance, Privacy program frameworks and discuss existing legal, standards and frameworks that can be utilized to build your privacy program. 4 videos 2 videos 3 videos 4 videos1 assignment | 4 modules | null | 3 hours to complete (3 weeks at 1 hour a week) | https://www.coursera.org/learn/introduction-to-privacy---part-1 | null |
Subsets and Splits