Statistical Computing for Biomedical Data Science

2 credits

Presents selected topics in statistical computing using Python. Covers basic Python programming concepts, and tools for data manipulation and visualization. Explores data modeling, progressing from classical statistical models to machine learning and artificial intelligence models via a hands-on approach. Prerequisite: either BIOST 513, BIOST 515, BIOST 518, BIOST 536/EPI 536, BIOST 537/EPI 537, or BIOST 540, any of which may be taken concurrently; recommended: experience with the R programming language. Credit/no-credit only. Offered: Sp.