Read the short causal primer and the shared delivery plan, then choose a guide. Use one case for the Chapter 7 capstone, or finish all three as one connected business project. The hours are for a small learning prototype on public or synthetic data. Collecting real data over time and running a powered business experiment take extra calendar time.
These are scaffolded practice budgets: you reuse the earlier environment, a small prepared dataset and the service boundary. Starting from a blank repository or collecting your own historical data needs extra setup time. The reference lab gives a synthetic starting point, so it cannot show a real business effect. On the first pass, finish the baseline, constraints and evidence report before opening the optional research sections.
| Block | Hours | Work | Deliverable |
|---|---|---|---|
| Shared setup | 5 | Decision brief, economics, data/label contract, experiment assumptions | Written specification and snapshot checks |
| Offer recommendation | 25 | Response baseline, identified uplift, constrained offer selection | Policy comparison and campaign delivery contract |
| Price recommendation | 25 | Demand/elasticity baseline, challenger, approved-price optimiser | Demand backtest and price experiment proposal |
| Churn | 25 | Risk baseline, calibrated ranking, survival/retention extension | Cohort evaluation and retention decision memo |
| Shared delivery | 10 | Feedback join, shadow run, budget/freshness checks, monitoring and rollback | Reproducible package and prototype launch-readiness review |
One guide plus the two shared blocks takes about 40 hours. Every row takes 90. Finish one baseline before adding a second model family. The starting models do not need a GPU. The shared delivery plan lists the artifacts and the completion gates.