Harvard T.H. Chan School of Public Health

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

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

Learn to process and convert raw data into formats needed for analysis.  

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

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

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.

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

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

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

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

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.

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.

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

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.

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

This applied program explores the needs of diverse stakeholders to ensure laboratories are safe, free of hazards, ergonomically sound, and environmentally friendly.

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

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

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

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

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.

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

This program will introduce you to theoretical aspects of learning and the principles of effective teaching, focusing on novel methods to enhance long-term retention and learning.

This program will put you on the path towards attaining a board position in health care and related industries. Gain direction, tools, and approaches for attaining a seat on a board of directors and being a successful board member

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

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

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