Free Course · Python · Golf Data Science
GolferHD Learn
Python for Golf Analytics
A practical, golf-themed course by GolferHD — powered by AscenHD
Learn Python, pandas, data visualization, and strokes gained analysis using real golf data. Free, open-source, and beginner-friendly — built for golfers who want to understand their game through data.
Uses real Pittsburgh golf data · 2,100+ shots
What You’ll Learn
This course teaches Python for data science through the lens of golf analytics. You’ll work with real golf data — shots, rounds, courses, and strokes gained — to learn the fundamentals of programming, data manipulation, and visualization.
Part 1
Concept
Understand the what and why behind each Python and data science topic before writing a line of code.
Part 2
Code
Implement it in Python with hands-on exercises using the golf dataset. Every topic has working code you run yourself.
Part 3
AI
Do it with Claude, ChatGPT, and other AI tools — and learn to evaluate, verify, and build on AI-generated output.
Course Topics
| # | Topic |
|---|---|
| 01 | Getting Started |
| 02 | Python Basics |
| 03 | Working with Files |
| 04 | Comprehensions & Generators |
| 05 | Classes & Data Modeling |
| 06 | Pandas & EDA |
| 07 | Data Visualization |
| 08 | Intro to Strokes Gained |
The Data
Real Golf, Real Courses
All course materials use a synthetic golf dataset with ~2,100 shots across 24 rounds at three real Pittsburgh courses: North Park, South Park, and Bob O’Connor Golf Course.
The data is fully downloadable from the course repository — no login required.
About the Author
Brian Kolowitz
GolferHD · Data Scientist · Pittsburgh
13.9 handicap, Python instructor, and data scientist. This course combines two passions: golf and teaching people to code.
Analyze Your Golf Game with Python.
Free, open-source, beginner-friendly. No prior programming experience required.