Courses

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.

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

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

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

Learn the anatomy basic to understanding five musculoskeletal injuries commonly seen in primary care medicine and orthopedic clinical specialty practice. Follow hypothetical patients from injury to operating room.

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

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.

The Introduction to Nonprofit Accounting and Financial Statements webinars provide a great opportunity to learn the basic principles of nonprofit accounting.

Reimagine global health problems with some of the leading global health thinkers and actors through a case-based biosocial framework.

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

Access to healthcare services is critical – but is it enough?

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

Explore what makes cities energizing, amazing, challenging, and perhaps humanity’s greatest invention.

Learn the skills and tools of improvement science to make positive changes in health, healthcare, and your daily life.

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

Learn how global warming impacts human health, and the ways we can diminish those impacts.

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

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

Join Harvard Medical School faculty Dr. Luana Marques to use applied psychology to build personal resilience with five science-driven skills.

Learn how to protect children from violence, exploitation, and neglect through law, policy, and practice in a human rights framework.

Examine best practices in child and family policies, advocacy, financing, and pathways to scale.

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

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

How can we eradicate malaria? Explore cutting-edge science and technology, and examine policies needed, to control and eliminate malaria.

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

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

Explore how entrepreneurship and innovation tackle complex social problems in emerging economies.

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.

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