Keynote
summary
Scaling human learning is the core problem: grassroots peer groups like the Hacker Within run local hands‑on sessions of ~30 people, while Software Carpentry scales to workshops (500 run, ~16,000 people taught by May) teaching bash Python git and SQL; cloud tooling like mybinder lets students run Jupyter notebooks in the browser so no install barrier though it needs self‑deployment for reliability; curricula, books and OReilly training emphasize git testing (now pytest), reproducible workflows and clear contributor on‑ramps.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 0:43Human learning in data world
- 3:19Skills in computational landscape
- 7:55Peer-led learning with The Hacker Within
- 13:36Scaling peer learning with Software Carpentry
- 18:31Challenges scaling training
- 19:14Removing barriers with Binder and Lab Carpentry
- 21:43Data science books and resources
- 24:57University data science education efforts
- 26:43Open source university and next steps
related talks
45mKeynote Speaker – Carol Willing
45mKeynote: Stories of Science, Community, Failures and Successes
26mSoftware Carpentry in Australia: current activity and future directions
05mLightning Talk: Software Carpentry
45mKeynote: The Python Butterfly Effect
31mCollaborative Programming in the Classroom: Approaches and Insights
44mKeynote
27mLearn Python Like a 12 Year Old