Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Learn to process and convert raw data into formats needed for analysis. 

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

This is a Harvard Medical School online executive education program will allow leaders across the ecosystem to gain insights...

Explore the risks and rewards of data privacy and collection.

This program combines the science of data visualization with the art of graphic design to help you communicate complex...