Introduction to Statistical Programming II (SAS)

Description from DukeHub

Introduction to Statistical Programming II (SAS and Python). This class is an introduction to programming in SAS, targeted at those with minimal programming knowledge. Topics build from data management programming to statistical analysis programming. Algorithms and data structures are emphasized. Students compare SAS code structure to that of R and Python, and this course will serve as a brief introduction to/refresher for these other languages as well. Prerequisite(s): None. Credits: 3

Skills

• programmingdescription: "programming" and 9 more
• data and statisticstitle: "statistical"

AI-resilient: 0 of 5 0/5

• No: Physical, lab or field work
• 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

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