Data Science Courses

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

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

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

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

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

An on-campus program to help architects, designers, workplace professionals, and people experts design their workplace for 2026 and beyond.

This Harvard Medical School one-year, application-based certificate program helps leaders effect positive change by learning to turn patient data into actionable, transformable knowledge.

Build a foundational understanding of AI concepts with this course from Harvard Business School (HBS) Online.

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

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

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

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

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

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

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

Discover how to combine AI-powered analysis with visual storytelling to turn complex data into clear insights that drive smarter decisions.

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

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