Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results,...

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.

Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

A focus on several techniques that are widely used in the analysis of high-dimensional data.

Learn to use R programming to apply linear models to analyze data in life sciences.