Courses

Build practical deep learning skills for Python-savvy professionals.

Master how to use AI in your everyday work and drive impact at your organization. Access on-demand learning modules, expert-led sessions, and Harvard insights that help you apply AI to real business challenges—join today for access through September 2026.

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

Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.

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

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

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

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

The structure, annotation, normalization, and interpretation of genome scale assays.

This course from Harvard Business School (HBS) Online will teach you the practical skills to turn data insights into strategic action.

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

Sentar las bases de conocimiento en R y aprender a discutir, analizar y visualizar datos.

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

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

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

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

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

This three-course program from Harvard Business School (HBS) Online will teach you the fundamental skills to confidently contribute to business decisions and decision-making.  

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.

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

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

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

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

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

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

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.