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This course explores why primary health care is central for achieving Health for All. It provides examples of how primary health care has been instrumental in approaching this...

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 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 /...

In this course, students will explore the core design of AngularJS, its components and code organization techniques. They will enhance the functionality of their web app by...

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

This online course explores the health behavior of individuals and how it can be encouraged by the behavior of families, social groups, communities, organizations, and policy...

This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will also introduce a range of...

This online course focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.

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

This MOOC explores chemicals in the environment, how they get into our bodies (exposures), what they do when they get there (toxicology), how we measure them (biomonitoring) and...

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 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 course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...

This course is an introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization...

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 course explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....