Courses

Explore the risks and rewards of data privacy and collection.

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

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

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.

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

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

Build practical deep learning skills for Python-savvy professionals.

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

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.

Explore the risks and rewards of data privacy and collection.

Data Science and AI Principles is a Harvard Online course that gives you an overview of data science and AI systems with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, ethics.

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.

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.

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

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

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

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

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

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.  

Develop a data mindset and the analytical skills to interpret and communicate data while applying concepts to real business problems in this course from Harvard Business School (HBS) Online.

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

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

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

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

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

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