Courses

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

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.

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

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

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.  

Negotiation Strategies: Building Agreement Across Boundaries is an executive program that goes beyond other negotiation workshops to address the challenges of negotiating across cultures, organizations, and sectors.

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

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

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

Discover how artificial intelligence is transforming today's businesses and how you can leverage it to grow your company into an AI-first leader.

In partnership with the Disparities Solutions Center at Massachusetts General Hospital, this course will help you deliver high-quality health care to all through organizational change.

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

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

The successful implementation of AI solutions in clinical practice requires teams that are skilled in multiple disciplines, including data science, user-centered design, subject-matter expertise, change management, and more. However, the health care field

Learn what is involved in using data wisely to build a culture of collaborative inquiry. 

Lead the strategic response to cyber risk.

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

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 how to create, read, update, and delete data with relational databases.

Sentar las bases de conocimiento en R y aprender a discutir, analizar y visualizar datos.

Taught by Harvard Law School faculty, Financial Analysis and Valuation for Lawyers is a Harvard Online course designed to help you navigate your organization or client’s financial goals while increasing profitability and minimizing risks.

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

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

Leading Successful Programs will challenge you to rethink your programs' goals and reassess how you gather, evaluate, and use data to determine their effectiveness.

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.

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

In partnership with the Disparities Solutions Center at Massachusetts General Hospital, this course will help you deliver high-quality health care to all through organizational change.

Build practical deep learning skills for Python-savvy professionals.

Think critically about social questions such as education policy, upward income mobility, and racial disparities, and understand how big data can answer these questions as well as impact policies that lead to improved outcomes around the world.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.