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Data teams: embedded or centralized? Unskilled and unaware of it. Counterfactual evaluation. Quant UX vs data science.
Quarto. Machine learning notebook tutorials. Reproducible & trustworthy workflows. Real-world recommenders. Graph-based outlier detection.
Causal inference: core methods & tools. How to read papers. Data strategies with regular people. Preferences in recommender systems.
Emerging data architectures. 200K+ Salaries. Advanced EDA w/ Python. Precision & Recall. ML-based causal inference.
Hard SQL interview questions. Imbalance detection. Real-world Prophet. Effective data teams. Data science project quick-start. AI trends.
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