Case Studies in the Practice of Statistics

Description from DukeHub

Students apply statistical analysis skills to in-depth data analysis projects ranging across diverse application areas including but not limited to energy, environmental sustainability, global health, information and culture, brain sciences, and social networks. Students practice cutting-edge statistical methods and communicate their results both technically and non-technically via presentations and written reports. Prerequisite: STA 360L or STA 402L.

Skills

• data and statisticsdescription: "statistical" and 3 more
• writingdescription: "written" and 2 more
• lab workhas a lab component
• public speakingAI review: "via presentations"

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 STA

• Data Analysis and Statistical Inference STA 101L
• Studying Incarceration with Data STA 116CNL
• Introduction to Data Science and Statistical Thinking STA 199CCL
• Regression Analysis STA 210L
• Regression Analysis: Theory and Applications STA 221L
• Statistical Computing STA 323L

All STA courses · All of Undergraduate