BDSAI 5003
Introduction to Biomedical Data Science
Introduction to Biomedical Data Science will provide students with an introduction to tools, theories and methods related to data modeling, management and query, data cleaning and analysis, and visualization that serve as the foundations for advanced topics in Biomedical Informatics and Data Science. The course consists of didactic lectures and experiential learning opportunities including hands-on laboratory sessions and a culminating project. Prior participation in “R and Python for Biomedical Sciences” course or completing a “Python Proficiency Test” are required, no other assumptions are made about computer science or clinical background.
Prerequisites & course information
Credit 2 units. Typical periods offered: Fall
Sources
- Course catalogue ↗2026–2027