Introduction to R For Public Health Researchers
June 19 - June 23, 2017
1:30 p.m. – 5:00 p.m.
Course Number: 140.886.11
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
Auditors Allowed: No
Grading Options: Letter Grade or Pass/Fail