About this Event
Instructors: Derek Weix, MS, PhD, Drexel Urban Health Collaborative.
Dates: Monday, June 22-Friday, June 26
Time: 9:00 a.m. - 12:00 p.m. EST
Format: In person
This course teaches students how to write clean and reproducible code in R, utilizing Git and GitHub. Although this course is taught in R, the concepts explored apply to any programming language used for statistics, such as SAS and Python. Students perform increasingly complex analyses, while prioritizing clarity in the structure, documentation, and generalizability of their project. Additional emphasis is placed on building an analysis workflow that is compatible with collaboration an external review. By the end of this course students should understand how to write clear and consistent code and how to utilize Git/GitHub to track changes in their own analysis and review the analyses of their collaborators.
Students should have basic familiarity with entry level statistics and R.
Continuing Education Credits*: 1.5 CEU or 15 CPH
Event Venue & Nearby Stays
Drexel University Dornsife School of Public Health, Nesbitt Hall, Philadelphia, United States
USD 900.00
