140.604.49
Introduction to R for Public Health Researchers

Location
Internet
Term
Summer Institute
Department
Biostatistics
Credit(s)
2
Academic Year
2025 - 2026
Instruction Method
Synchronous Online
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Carrie Wright
Ava Hoffman
Contact Name
Ayesha Khan
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
Instructor Consent
Consent required for some students
Consent Note
Consent required for degree students.
Consent Contact
akhan6@jhu.edu
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.
Offered as hybrid course with both an onsite section and synchronous online section. Please choose the course format you need (either in-person or online) when registering in SIS.