QM 700QB
Data Analytics and Applications
David Brown
Description from DukeHub
Investigate how data analysis can be used to guide business practices by discussing a variety of real-world situations. You will study the core concepts behind data analytics, the challenges associated with big data, and the interplay between data science and business decisions, with your focus being on the long-lasting, general principles that endure the rapid change of technology and the 'hands-on' analyses of actual datasets to develop methodologies. This course is for MSQM: Business Analytics and Accelerated MSQM: Business Analytics students.
Skills
- data and statisticsdescription: "data analysis" and 5 more
AI-resilient: 2 of 5
- Yes: Physical, lab or field work · "hands-on"
- No: Live work with people
- Yes: Judgment someone is accountable for · "decisions"
- 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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