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This online course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.

This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able...

This online course (MOOC) explores Pre-Exposure Prophylaxis (PrEP) using the antiretroviral medication emtricitibine/tenofovir to reduce transmission of HIV.

This course presents the fundamental probability and statistical concepts used in elementary data analysis.

This online course provides an interdisciplinary and historical exploration of the BlackLivesMatter movement.

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from...

This online course gives an introduction to least squares from a linear algebraic and mathematical perspective. The course is for students who already have had a class in...

This online course explores telemedicine as an important part of the future of healthcare. Key content areas include clinical considerations, patient safety, technology needs,...

This class will cover an introduction to command line tools for managing genomic data. It will start with basic Unix commands for managing files and directories, followed by a...

This online course prepares participants to work and live overseas. The course was created especially for participants who travel to low- and middle-income countries for...

This MOOC examines the community context of the changes needed to promote the public’s health.

This online course provides a brief introduction to the U.S. food system. It also includes key historical and political factors that have helped shape the current food system.

This MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.

This course covers the essential exploratory techniques for summarizing data. It will cover in detail the plotting systems in R as well as some of the basic principles of...

This course covers how to find the right people to fill out a data science team, how to organize them to give them the best chance to feel empowered and successful, and how to...

This online course is intended for people who will plan, implement, and/or evaluate training programs for community health workers.

This course explains the basic principles for design of randomized clinical trials and how they should be reported. Participants will be introduced to terminology used in...

This course introduces participants from the health care sector to gender based violence (GBV), including global epidemiology of GBV, health outcomes, seminal research, policy...

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical...

This is a focused course designed to rapidly get participants up to speed on doing data science in real life. It includes eg. describing possible pitfalls when pulling /...