Interactive Learning 70+ Concepts
Applied Data Science
Learn practical data science through interactive tutorials, synthetic data simulations, and hands-on calculators. From Bayesian inference to optimization — with sports betting as a rich applied use case.
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📊
70+
Concepts Covered
🎮
50+
Interactive Demos
📝
70+
R Code Examples
📁
13
Categories
Featured Topics
Start with these foundational concepts
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Explore the complete curriculum
Core Statistical Models 8
Pricing Frameworks 6
Risk Management 5
Sports Models 5
Behavioral Models 5
Dynamic Pricing 5
Optimization 4
Econometrics 5
Machine Learning 6
Business Frameworks 5
Metrics & Evaluation 6
- 📊 Log Loss
- 🎯 Brier Score
- 📈 ROC-AUC
- 📏 MAE/RMSE
- +2 more...
Infrastructure 5
Recommended Learning Path
Phase 1: Foundation
Expected ValueImplied ProbabilityRegression Models
Phase 2: Intermediate
Bayesian UpdatingMonte CarloKelly Criterion
Phase 3: Advanced
Correlation AnalysisVaRMarket Making
Phase 4: Expert
Reinforcement LearningGame TheoryMLOps