Data Science Courses

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

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.

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.

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

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

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.

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

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.

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