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 and Statistics.

One of any of the following introductory statistics courses: PUBHLTH 223, STAT 111, STAT 240, STAT 501, ResEcon 212, PSYCH 240

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. PUBHLTH 345, BIOSTATS 530). Please consult with the instructor if you have no programming experience.

If the class and the Spire waitlist are full and/or you are unable to self-enroll in this course (for another reason), please complete this waitlist link: https://tinyurl.com/PHWaitlist-Electives