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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 /...

This course focuses on data science in real life. It will contrast the ideal with what happens in real life. By contrasting the ideal, students will learn key concepts that will...

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

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

This online course is designed to introduce participants to basic tools of theory building and data analysis in systems science and to apply those tools to better understand the...

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

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 covers how to program in R and how to use R for effective data analysis. Students will learn how to install and configure software necessary for a statistical...

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 (MOOC) introduces the fundamentals of cancer biology, diagnosis, and treatment. Topics covered in the course are:Incidence and Etiology of CancerGenetics of...

This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various...

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

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more...

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 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 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 discusses the basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.

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 course teaches how to provide psychological first aid to people in an emergency by employing the RAPID model: Reflective listening, Assessment of needs, Prioritization,...

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...