Data Centricity Rethinking Introductory Computing to Support Data Science
summary
Argues for starting intro computing with two-dimensional tables as the primary data structure, teaching images→tables→lists→trees→state→hash tables in that order; builds and uses a custom language called Pirate language with first-class tables, images, ADTs and testing embedded into the IDE, then transitions students to Python when introducing mutation. Course runs at Brown as a shared intro for CS and data science, produces reduced switching costs between majors, and the approach is research-backed with a textbook and studies showing it works in practice.
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chapters (4)
- 0:00Start
- 13:10Bringing in Testing and Validation
- 14:48Summary statistics leverage single columns
- 21:31Python is not "easy" for CS novices
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