ID529: Data Management and Analytic Workflows in R

Welcome to ID529 Data Management and Analytic Workflows in R


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  • Course Hours: 1:30-5:30 PM
  • Course Dates: Monday January 9th - Friday January 13th, Tuesday January 17th - Friday January 20th, 2023
  • Office Hours: 11:30 AM – 12:30 PM on Wednesday January 11th, Tuesday January 17th, Thursday January 19th
  • Limit 60 students, priority for Population Health Science (PHS) students

Course Description

Data Management and Analytic Workflows in R will introduce students to R programming and modern data management and analysis workflows applied to examples from population health science. Throughout, we will emphasize reproducibility, open science, data visualization, and dynamic document generation. Specific skills learned will include the use of the RStudio integrated development environment, tidy data management practices/workflows, how to get help in programming, and how to use GitHub to track changes in code, disseminate professional work, and integrate feedback. Coursework will consist of lectures, in-class group work, homework, peer assessment, and time for discussion. This course complements graduate-level courses in statistics and quantitative research methods by helping students develop practical skills for conducting independent research incorporating modern data science principles. Students completing this course will have a solid foundation enabling them to handle complex data management tasks and data communication skills for research and professional work.

Instructional Team