Students gain hands-on experience by analyzing real-world sports data and developing their own Player Efficiency Rating program in Java.
This Sports Analytics Camp teaches students to apply data-driven decision-making in sports. Participants will learn to evaluate players using statistics and create a Java program to calculate a Player Efficiency Rating (PER). The curriculum emphasizes hands-on experience with real-world sports data, allowing students to analyze team and player performance, identify areas for improvement, and develop their own statistical models. The camp also explores how analytics influence game strategies and multi-million dollar decisions in professional sports. Students will gain valuable skills in data collection, organization, analysis, and visualization, and will have the opportunity to participate in projects like analyzing their favorite sports team or coding a PER program. Prior experience in Java or Python is recommended but not required, making it accessible to students with varying levels of programming background.
A typical day includes morning interactive lessons on data collection and analysis techniques, followed by afternoon hands-on projects using Python and group discussions on sports strategies.
This camp is ideal for curious and passionate middle and high school students eager to challenge themselves and explore the intersection of mathematics, technology, and sports.
Multiple Locations
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