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140.604.79
Introduction to R for Public Health Researchers

Location
Internet
Term
Summer Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2024 - 2025
Instruction Method
Synchronous Online
Start Date
Monday, June 10, 2024
End Date
Friday, June 21, 2024
Class Time(s)
M, Tu, W, Th, F, 1:30 - 5:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Prerequisite

Previous exposure to hypothesis testing and statistical modeling

Description
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:
  1. Read multiple data formats into R
  2. Recode and manipulate data
  3. Write custom R functions and use add-on packages
  4. Make exploratory and customizable plots
  5. Perform, interpret, and visualize basic statistical tests
  6. Use basic “programming” syntax
Methods of Assessment
This course is evaluated as follows:
  • 20% Participation
  • 45% Assignments
  • 35% Final Project
Special Comments

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.
Course will be taught online via Zoom, on the dates and times the course is scheduled.