Public Health 490Z - Stat Modeling/Health Data Sci

This is course is for students who want to learn essential statistical and computational skills for health data science. Students will obtain hands-on experience in implementing a wide range of commonly used statistical methods with real data from public health and biomedical research using the statistical programming language R. The course motivates statistical reasoning and methods through real health data. The focus of the course is to train students in refining a scientific question into a statistical framework, choosing proper regression models, writing scripts and executing them in R, and interpreting scientifically meaningful findings.

Must have introductory level experience with R. If you do not have experience in using R, you are strongly encouraged to take the course along with an Intro to R course (e.g. BIOSTATS 490R). Please consult with the instructor if you have no programming experience. Working knowledge of basic matrix methods and calculus is useful although it is not required.