Data Analysis Courses

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

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

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

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

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.

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.

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

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

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

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.

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.  

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