140.604.73
Introduction to R for Public Health Researchers
Location
Internet
Term
Winter Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2023 - 2024
Instruction Method
Synchronous Online
Start Date
Monday, January 8, 2024
End Date
Friday, January 19, 2024
M, Tu, W, Th, F, 1:30 - 4:50pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Previous exposure to hypothesis testing, statistical modeling, and using a statistical package. Must have a computer and Zoom enabled.
For those who have little to no familiarity with the R programming language and want to learn more about how to use R to import, wrangle, analyze, and visualize data.
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 or have a little familiarity.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Read multiple data formats into R
- Recode and manipulate data
- Write custom R functions and use add-on packages
- Make exploratory and customizable plots
- Perform, interpret, and visualize basic statistical tests
- Use basic “programming” syntax
Methods of Assessment
This course is evaluated as follows:
- 20% Participation
- 45% Assignments
- 35% Final Project