Data Analysis Courses

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.

Build practical skills that will prepare you to interpret data, test ideas, and apply predictive and AI insights to real-world business decisions in this course from Harvard Business School (HBS) Online.

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.

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

This 17-week online credential program from Harvard Business School (HBS) Online will teach you the fundamental skills professionals need to succeed today.  

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

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

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

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

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

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

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

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

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

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

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.

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.

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

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

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.