Data Science Dialogues

Description from DukeHub

A series of discussions that give students snapshots of data science projects from practitioners and researchers. Students will hear from speakers from academia, industry, government, and nonprofits who discuss their career paths and share personal experiences about their most rewarding projects, the impact of stakeholders on their projects, the challenges of data collection and analysis, the differences between data science in startups and established companies, and the work cultures in different fields. Open only to Interdisciplinary Data Science students.

Skills

• data and statisticsdescription: "data science" and 2 more

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

More in IDS

• Design Your Own Social and Behavioral Research IDS 306S
• Practical Data Science II IDS 541
• Applied Machine Learning IDS 542
• Introduction to Data Science and Quantitative Methods in Risk Management IDS 583
• Data Science and Decision Optimization in Banking & Financial Services IDS 586
• Credit Risk Modeling IDS 598-01

All IDS courses · All of Graduate School