140.604.79
Introduction to R for Public Health Researchers

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.

For 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. Course will be taught online via Zoom, on the dates and times the course is scheduled. For further information, please see the Institute website jhsph.edu/summerepi