Introduction to R for Public Health Researchers
- Winter Inst. term
- 2 credits
- Academic Year:
- 2022 - 2023
- Instruction Method:
- Synchronous Online
- Class Times:
- M Tu W Th F, 8:30 - 11:50am
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:
- 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
- Instructor Consent:
Consent required for some students
- Consent Note:
Consent required for degree students.
- For consent, contact: