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Data Management and Analytic Workflows in R
ID 529

Course Information

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.

Class Notes

THIS CLASS HAS PRIORITY ENROLLMENT
 
Priority Wave Groups
Wave 1 | PhD-PHS
Wave 2 | MPH-65, DrPH, SM2
Wave 3 | Open Enrollment
 
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Priority Wave Timing
Wave 1 | 11/12/2026 11:00 AM - 11/22/2026 11:59 PM
Wave 2 | 11/23/2026 12:00 AM - 11/25/2026 11:59 PM
Wave 3 | 11/26/2026 12:00 AM Enrollment Deadline (varies by session)
 
Any student who does not meet the Wave 1 or Wave 2 criteria can add themselves to the waitlist (if enrollment requirements are met) at any time during the enrollment period. At the beginning of each priority wave, students on the waitlist who meet the Wave’s criteria will be automatically enrolled into any remaining seats in the course (pending no time conflicts)
 
**Cross-Registrants and Non-Degree Students will be enrolled on a space available basis after the enrollment deadline for the course
 

School Harvard Chan School
Credits 2.5
Cross Reg

Available for Harvard Cross Registration

Course Component Lecture
Instruction Mode In Person
Grading Basis HSPH Student Option (Ordinal, Pass/Fail)