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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.

A focus on the techniques commonly used to perform statistical inference on high throughput data.

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

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

Learn how American women created, confronted, and embraced change in the 20th century while exploring ten objects from Radcliffe’s Schlesinger Library in this online course.

Join Harvard University faculty in this online course to explore Chinese history and culture from the perspective of the individual through philosophical texts, literary works, and art.

Join Harvard professor Melissa McCormick to study Japanese scroll art as text and as "little movies" that immerse the viewer through visual narration.

This course will give you the tools needed to understand data, science, philosophy, engineering, economics, and finance.