Harvard T.H. Chan School of Public Health

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

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

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

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

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

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

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

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.

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

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

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

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

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

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.

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

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

This leadership development program focused on women provides you with the skills to lead complex health care organizations.

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

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

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

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

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

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

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

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.