Take your golf game—and your data skills—to the next level with Mastering Golf Analytics with R, a comprehensive guide to understanding, visualizing, and optimizing golf performance using real data and advanced analytics.
Designed for golfers, coaches, and data enthusiasts, this eBook offers a practical, step-by-step approach to analyzing golf performance using the R programming language. Whether you’re trying to lower your handicap, help others improve, or build sports analytics expertise, this guide will give you the tools and techniques you need.
📊 What You’ll Learn:
✅ How to clean and prepare golf performance data in R
✅ Visualize trends and compare player stats over time
✅ Analyze golf shots, rounds, and course difficulty
✅ Apply statistical models to understand strengths and weaknesses
✅ Use clustering and regression to forecast outcomes and strategy
✅ Build performance dashboards to monitor progress
🧠 Who Is This For?
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Golfers who want to understand and improve their game with real insights
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Data scientists or students interested in sports analytics
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Golf coaches or trainers looking to adopt data-driven approaches
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R programming learners who want a real-world project to practice with
📦 What’s Inside:
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83 pages of practical examples using real golf data
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Clean, annotated R code for analysis and visualization
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Case studies: player comparisons, strategy evaluation, and more
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Exercises and guidance to apply each method on your own
⚙️ Requirements:
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Basic knowledge of R (recommended but not required)
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RStudio and a few tidyverse packages
Mastering Golf Analytics with R combines the power of data science with the art of golf. Whether you’re a curious amateur or a seasoned coach, this guide will help you uncover the numbers behind the game—and use them to your advantage.
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