General Courses

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

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

Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.

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

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

Learn basic data visualization principles and how to apply them using ggplot2.

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.  

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Show what you’ve learned from the Professional Certificate Program in Data Science.

This course from Harvard Business School (HBS) Online will teach you how to compete in the age of AI.

Data Science Principles is a Harvard Online course in collaboration with Harvard Business School Online that provides an overview of data science with a code- and math-free introduction to prediction, causality, data wrangling, privacy, and ethics.