The Data Science Education Podcast: Who It's For and Who Sponsors It

Est. audience: 500
Apple rating: 3 from 2
Cadence: Every two weeks
Latest: 2026-10-31
By: Berkeley Data Science
Based on: 12 recent episodes

Covers: Interviews on data science pedagogy, curriculum design, ethics, open tools, and teaching in the era of AI.
For: Data science educators, academic administrators, and technical instructors.
Best for: Educators looking to build or update data science and AI curricula.
Skip if: Business executives seeking general corporate data strategy and revenue growth.

Start with

When AI Can Code, What Should Students Learn? (feat. Bernadette Boscoe): Explores foundational data science pedagogy when AI tools can generate code.
Scaling Data Science Education with JupyterHub (feat. Min Ragan-Kelley): Discusses using JupyterHub to simplify computing environments for students.
No Ethics Without Context: Teaching Data Science in a Human World (feat. Ari Edmundson): Covers incorporating human context and ethics into data science curricula.

Summarised by AI from 12 recent episodes. Audience estimate and Apple rating from Podscan, checked 2026-11-03; treat the estimate as a guide and ask the show for its own numbers. Prices are not included. Report a mistake.