Understanding home field advantage is a fascinating aspect of American football analytics, and using data to explore this phenomenon can reveal patterns and insights that enhance our understanding of the game. By combining exploratory data analysis techniques with real-world data, data scientists and football enthusiasts alike can uncover the factors that influence game outcomes.
In this hands-on code-along session, Paul Sabin, Lecturer in Statistics & Data Science, and Senior Sports Analytics Fellow at The Wharton School, will guide you through analyzing home field advantage in Super Bowl games. You’ll learn how data is used to study American football, apply data manipulation and visualization techniques, and assess the impact of home field advantage on game performance. Whether you’re a seasoned data scientist or a football fan with a passion for analytics, this session will provide a unique perspective on the intersection of sports and data.
Key Takeaways:
- Learn how to analyze American football games using real-world data.
- Explore data manipulation and visualization techniques for exploratory data analysis.
- Assess the impact of home field advantage in football games with data-driven insights.
