An incomplete list of implementing data science effectively
summary
Claims a practical six‑item playbook and shows it in action: a sewage‑to‑hospitalization forecast that trades raw infection signal for actionable hospital bed predictions, built and deployed as a GitHub‑managed, dockerized pipeline with Python training and a FastAPI dashboard and shipped in 13 days. It replaces fragile spreadsheets, scales forecasting to ~80% of operational teams, emphasizes small directed steps, chose simple tools over overengineered stacks, and reports live A/B testing with decision makers.
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chapters (7)
- 0:00Data science at bol.com
- 3:41Effective data science list
- 8:13Six principles for data science
- 19:51Interactive feedback from the audience
- 21:37COVID-19 hospital prediction
- 27:36Team forecasting case study
- 30:02Summary
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