R Software for Health Research
Graduate students in the health sciences, community health, and epidemiology will learn to use R, a statistical software frequently used in health sciences research. This course provides an overview on data entry, data management and manipulation, and visualization using R and also covers basic statistical applications, including linear regression, and logistic regression. To demonstrate proficiency, students will be given a dataset with steps to follow and analyze based on the learning outcomes. This class is expected to help students build capacity with R and the research process. They can begin to consider how to use R to apply their biostatistics knowledge to their graduate thesis or other research.
Prerequisites & course information
Restriction(s): Dept: Community Health and Epidemiology. Prerequisite(s): An upper-level undergraduate statistics course. Note: Students who have received credit for PLSC 835 cannot take this course for credit. This course is part of a suite of skills-focused short courses offered by the Department of Community Health and Epidemiology that build on content and theory delivered in full 3.0 cu graduate research methods courses. Completion of several of these 1.0 cu skills courses is not a suitable substitute for a single 3.0 cu research methods program requirement as they do not provide the theoretical or substantive depth expected at a graduate level.
Sources
- Course catalogue ↗2026-2027