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.

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What you will learn

This course teaches Python for data science through the lens of golf analytics. You will 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, then 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 roughly 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

BK

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.

You don't learn this by reading about it. You learn it by wrestling with something real, getting it wrong, and growing. Golf is just the thing I cared enough about to keep at.

BK Brian Kolowitz, D.Sc. · Founder, AscenHD

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