Introduction to Statistical Programming for Population Health Sciences II

Description from DukeHub

Students will build on programming learned in Population Health Sciences 703 using the SAS Software System and R Statistical Computing Platform. Students will continue to learn to write code to perform descriptive, statistical, and graphical analyses; write maintainable code to test for correctness and to apply basic principles of reproducibility. Programming techniques and their applications will be closely connected with the methods and examples presented in the concurrent course Population Health Sciences 702. Prerequisite: Population Health Sciences 703.

Skills

• programmingdescription: "programming" and 4 more
• data and statisticstitle: "statistical"
• writingdescription: "write" and 1 more
• lab workhas a lab component

AI-resilient: 1 of 5 1/5

• ✓Yes: Physical, lab or field work · "laboratory"
• No: Live work with people
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

More in POPHS

• Regression Methods for Population Health POPHS 702
• Introduction to the US Healthcare System POPHS 706
• Research Methods II: Evidence, Methods, and Decision Making in Population Health POPHS 708
• Professional Development II POPHS 710
• Population Health Capstone POPHS 752
• Data for Population Health POPHS 816

All POPHS courses · All of Graduate School