Interdisciplinary Health Disparities and Data Science Training (IHSAN)

This learning research community is a 10-week series of technical lectures and workshops to introduce health disparity researchers to data science through practical, hands-on training. Lectures will introduce fundamental principles and techniques of data science in order to extract useful information and knowledge from data. In parallel to lectures, workshop participants will also learn how to explore data, define cohorts and build participant-level datasets using the All of Us Researcher Workbench. Participants will also learn how to write reproducible and modular code with R, including programming best practices.