Introduction to R For Public Health Researchers
June 12 - June 23, 2023
1:30 p.m. - 5:00 p.m.
Course Number: 140.604.79
This course will be taught online via Zoom, on the dates and times listed above. Registered students will attend their classes virtually via Zoom, in real time with faculty and other students.
"This course provided an excellent foundational knowledge in using R. I also really appreciated that the course instructors took time to get our feedback after each session each day and adapted based on that feedback, which greatly improved my experiences in the course."—Student, 2021
"This course was just what I was hoping for. While it was fast, the instructors provided great resources in the slides, labs, and homeworks that gave us experience practicing the code and can be used later as reference material. It's challenging to learn a new language in a week but I learned enough of the basics that I can move forward on my own with confidence. I'm very pleased with this course."—Student, 2019
Provides “hands-on” training for analyzing data in the R statistical software package, a popular open-source solution for data analysis and visualization. Covers data input/output, data management and manipulation, and constructing useful and informative graphics. Geared towards individuals who have never used R. Consists of a 90 minute “interactive” lecture followed by a 2 hour lab, where students apply the skills taught in the lecture to real data.
Attendance/participating in lectures (20%), 3 take-home assignments (15% each; 45% total), 1 final take-home project (35%)
Prerequisite: Previous exposure to hypothesis testing and statistical modeling
Grading Options: Letter Grade or Pass/Fail