Data Analysis Courses

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

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

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

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

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

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.

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

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

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.

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

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

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

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

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

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.

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

Master how to use AI in your everyday work and drive impact at your organization. Access on-demand content and expert-led sessions to help you apply AI to real business challenges—last day to join: Aug. 30, 2026. Access continues through Dec. 2026.

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

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