Health Data Science

In 2021 we will offer training for the course “Health Data Science” (course summary is below) to faculty fellows.

You are eligible for this faculty training program if you:

  1. Have either a post-doctoral or faculty appointment at a McGoldrick-affiliate institution.
  2. Have experience with the statistical software R.
  3. Are motivated to improve their own teaching and participate in a cross-country cohort of educators.
  4. Are available to participate in pre-workshop online training (approximately 20 hours) and the virtual workshop (two weeks).
  5. Have institutional support to implement the course during the 2021 academic year.

All training will be held virtually. If you would like to apply, please complete the attached application (McGoldrick_HDS_Application) and submit to Dr. Larson ( by *updated deadline* 8 January 2021. Additional details are contained in the application, but do not hesitate to reach out to Dr. Larson with any questions.

Course summary: Health Data Science

Unprecedented advances in digital technology during the second half of the 20th and beginning of the 21st centuries is transforming science, including health and biomedical research. Scientific fields that have traditionally relied upon simple data analysis techniques of smaller datasets have been transformed by technologies that continue to expand the possibilities of observing and deciphering massive amounts of data in an unprecedented way. This course combines concepts from Statistics, Computer Science and Software Engineering. We will learn the necessary skills to manage, visualize and analyze data. We will learn concepts such as data wrangling, exploratory data analysis, machine learning and data visualization. We will also learn the necessary skills to develop data products including R programming, reproducible research, and communicating results.