Apply your analytics skills to real-world NBA scenarios
Each case study presents a realistic NBA front office scenario requiring data analysis. Work through the problem, implement the code, and develop your own recommendations before reviewing the provided solution.
Analyze whether trading for a star player would improve team championship odds using advanced metrics, salary cap implications, and team fit analysis.
Design an optimal roster construction strategy using salary cap management, player archetype analysis, and historical championship team patterns.
Evaluate a draft prospect using college statistics, physical measurements, and predictive modeling to project NBA success.
Analyze lineup data to identify optimal rotation patterns and recommend adjustments for playoff positioning.
Break down team defensive performance to identify scheme strengths, weaknesses, and improvement opportunities.
Create a player development monitoring system to track skill acquisition and predict trajectory.
Evaluate player contracts using market analysis, production metrics, and future projections.
Create a comprehensive pre-game scouting report using opponent tendencies, matchup analysis, and strategic recommendations.
Understand the business context and what decision-makers need from your analysis.
Attempt the analysis independently before looking at the provided solution code.
Use the discussion questions to deepen your understanding and consider alternative approaches.