Harvard T.H. Chan School of Public Health

Learn the principles guiding humanitarian response to modern emergencies, and the challenges faced in the field today.

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

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

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

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

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

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

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.  

Don’t leave teaming up to chance. Create better teamwork through science.

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

Prepare to test and certify systems containing HEPA filtration and gas adsorption systems. Learn to operate testing equipment  and gain an understanding of nuclear air- and gas-cleaning activities.

Understanding the context for the Ebola outbreak: What went right, what went wrong, and how we can all do better.

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

The importance of reducing the mental health care gap has never been more critical. The current reality of limited financial resources, stigma associated with mental health problems, and too few professionals to support the vast mental health needs of the

This program brings together chairs of major clinical departments in teaching hospitals for intensive and systematic study of the leadership and management issues facing chairs, their departments, and teaching hospitals.

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

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

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

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

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.

This course will help leaders of health care organizations develop the skills needed to realize the value of AI in health care and advance their careers through demonstrating leadership in digital transformation of health care.

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

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

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

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

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

This self-paced leadership development program equips mid-level nurse managers with essential skills in performance management, negotiation, health care technology, resource management, quality improvement, and more. Start any time.

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

Protecting the public from harm during a radiological event requires a thorough and well-designed radiological emergency management program.