Applied Statistics for Public Policy

Description from DukeHub

This course introduces statistics as a tool for understanding and analyzing data in public policy contexts. The course covers applied and conceptual foundations of data analysis, statistical inference, and regression methods. Through hands-on labs using statistical software, the course will emphasize interpreting results, reasoning under uncertainty, and evaluating evidence. Applications in the course will focus on real-world, policy-relevant topics.

Skills

• data and statisticsdescription: "statistics" and 5 more
• policy and lawtitle: "policy"
• lab workAI review: "Through hands-on labs using statistical software"

AI-resilient: 2 of 5 2/5

• ✓Yes: Physical, lab or field work · "hands-on"
• No: Live work with people
• ✓Yes: Judgment someone is accountable for · "policy"
• 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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• Governing Corporate Power: Rules, Democracy, and Human Rights PUBPOL 113CNS
• Who Gets What - and Why? Public Policy, Health, and Opportunity in the US PUBPOL 191CC
• Leadership, Policy, and Change PUBPOL 260S

All PUBPOL courses · All of Undergraduate