Data Visualization for Public Health
This course will build upon the analytical tools learned during the previous courses to enable students to visually convey their findings to both technical and non-technical audiences. In this course, students will learn how to identify and explain the layers of the grammar of graphics, select effective static data visualizations, write R code to manipulate data visualizations, and construct their own compelling visualizations from scratch using health data. Course goals will be achieved using the ggplot2 package in R. By the end of the course, students should be effective visual communicators of their findings and will be proficient in producing impactful visualizations using ggplot.
Prerequisites & course information
Prerequisite: Biostat 306 or previous R experience with approval from instructor.
Sources
- Course catalogue ↗2026–2027