Harvard T.H. Chan School of Public Health

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

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

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

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

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

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

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.

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

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

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

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

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.

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

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.

Increase your competence in the critical management areas of navigating conflict, providing feedback, and skillfully approaching negotiations.

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

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

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

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

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

The health care industry is in a productivity crisis. Today artificial intelligence offers a tool that can help break out of this crisis. This is where AI for Health Care: Concepts and Applications comes in.

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

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

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

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

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

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.

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

Learn financial management and control, and how to interact more effectively with finance personnel.