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· 🏫 University of Pennsylvania

Moneyball: Training Camp

Students learn directly from Wharton Professor Adi Wyner and guest lecturers, applying advanced statistical concepts to real-world sports data, culminating in a personal sports analysis project with potential for publication.

🔥 High School 🕒 1-week Pre-College Program Online Beginner-friendly 💰 $2,299 total
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About this camp

The Moneyball: Training Camp is a one-week online program that introduces high school students to statistics and coding through the lens of sports. Students will learn the fundamental principles of sports statistics, including data wisdom, histograms, box plots, quantiles, contingency tables, confounding factors, and the Empirical Rule. The program also covers regression and relationships, such as scatter plots, correlation, regression lines, and avoiding the regression fallacy, as well as probability basics for decision-making. Students will gain hands-on experience using R programming for real-world data analysis and visualization. The camp culminates in students developing their own sports analysis project, with the potential for publication in the Wharton Sports Analytics Journal. The program aims to equip students with critical thinking and quantitative reasoning skills, preparing them to understand and create data-driven sports analyses.

What a typical day looks like

A typical day includes live online class lectures, facilitated small group discussions, collaborative group work, guest speakers, and independent work within the Wharton Online Learning Platform. Live class sessions are tentatively scheduled from 10:00 AM to 6:00 PM Eastern Daylight Time, with a lunch break and optional office hours.

Best suited for

This program is ideal for high school students with strong math skills and an interest in sports who are intrigued by statistics and coding.

What you'll learn

Fundamentals of Statistics Data Wisdom Regression and Relationships Probability and Decision-Making R Programming Data Analysis Data Visualization

Location

University of Pennsylvania

Sponsored by Research Ignited

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