Harvard T.H. Chan School of Public Health

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

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

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

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

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

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

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

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.

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

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.

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.

Find innovation opportunities in health care technology, management, consulting, or investing by examining health care cost, quality, and access.

Learn how a Culture of Health can transform your business by integrating worker, customer, community, and environmental well-being for sustainable success.

This program brings together physicians in administrative positions in academic health centers, report directly to the chair of their department, to study the critical leadership and management issues facing academic health centers.

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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