| Week | Topics | Key Tools / Assignments | |------|--------|--------------------------| | 1‑2 | Review of probability, hypothesis testing | R/Python refresher labs | | 3‑4 | Multivariate regression & diagnostics | Project proposal draft | | 5‑6 | Mixed‑effects & hierarchical models | Mini‑project on longitudinal data | | 7‑8 | Bayesian methods (MCMC, Stan) | Posterior analysis report | | 9‑10 | Machine‑learning pipelines (feature engineering, cross‑validation) | Kaggle‑style competition | | 11‑12 | Time‑series & forecasting (ARIMA, Prophet) | Forecasting case study | | 13‑14 | Ethical AI & reproducibility | Code audit & documentation | | 15 | Capstone presentations | Final project defense |

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