HS 616

Statistical Computing for Biomedical Data Analytics

This course is an intensive introduction to statistical commuting with R. It is designed to develop core computing skills, to complement traditional coursework in mathematical statistics, and to lay the groundwork for further study of biomedical data analytics. Assignments will draw from a wide range of computational and applied mathematical concepts required for biomedical data analytics, including probability, statistics, linear algebra, optimization, data manipulation, visualization, linear modeling, and model diagnostics.

Restriction: Level Restricted to Graduate