Decision sciences in Python

on YouTube ↗29m

" summary

Decision science combines forecasts with operations research, game theory and behavioral methods and shows up in production problems: a route‑scheduling project for vans switches objective from minimizing drive time to minimizing idle time, saving measurable cost; workforce rostering moves from Excel into Pyomo models solved by Gurobi/Simplex; pricing/ship‑deployment uses regression plus probabilistic programming to optimize expected profit or lower‑quantile utility. Expect 90–95% of effort to be stakeholder framing and assumption work.

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" chapters (9)

1. 0:00Introduction to decision science
2. 1:11Why decision science matters
3. 2:58Biases in decision-making
4. 5:06Steps to better decisions
5. 9:17Python for optimization
6. 13:51Scenario design with uncertainty
7. 17:05Probabilistic programming in Python
8. 19:55Evaluating decisions
9. 22:48Q&A session

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