Professional Basketball Analytics and Visualization

A Data-Driven Approach to NBA Basketball

First Edition

A comprehensive textbook for undergraduate students in sports analytics, data science, and sports management

About This Book

This textbook provides a complete introduction to basketball analytics, covering fundamental statistics through advanced machine learning applications. With over 800 pages of content, hands-on Python code, and real-world case studies, students will develop the skills needed for careers in professional sports analytics.

Target Audience: - Undergraduate students in sports analytics programs - Data science students with interest in sports applications - Sports management students seeking quantitative skills - Self-learners pursuing careers in basketball analytics

Prerequisites: - Basic statistics (mean, variance, hypothesis testing) - Introductory Python programming - Interest in basketball and data analysis

Published 2024

This textbook is designed to be used with Jupyter notebooks. All code examples are available in the accompanying repository and can be run interactively.