Data Science Courses

This course covers the skills and models to handle big data that are both rich in variables and time. We discuss both structural models and reduced-form models.

This course is designed to cover an introductory level overview of bioinformatics. It covers commonly used bioinformatics tools and algorithms as well as standard formats, with the focus on DNA/RNA sequence and sequencing data analysis.

Explore the risks and rewards of data privacy and collection.

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

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

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

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

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

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

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

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.

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.

Taught by a real estate economist and data expert, you will learn to use technology, proprietary data, and a proven framework to elevate your decision making and real estate investment outcomes.

Designed for aspiring and established leaders in any industry, The Harvard Business Analytics Program helps students not just analyze data but understand it, translate it, and incorporate it into strategy at the top levels of their organizations.