An Introduction to Applied Sport Analytics
offers a step-by-step path for applying data-driven methods in sport.
The book begins with the evolution of sport analytics and foundational concepts like the Pythagorean theorem, correlation, and regression, then moves into hands-on instruction with industry tools such as Excel, SQL, R, Python, and Power BI.
Along the way, readers learn how to explore data, evaluate performance, and make informed decisions across team operations, player valuation, and sport business strategy.
The book features real-world examples, chapter exercises, and review questions designed to reinforce key concepts through application.
A dedicated section on data visualization walks readers through designing reports and dashboards using Power BI and Tableau.
It also introduces the growing role of artificial intelligence in sport, showing how tools like machine learning and coding assistants can enhance analysis.
A robust ancillary program also provides support to students with additional practice opportunities.
With its practical focus and clear structure, An Introduction to Applied Sport Analytics is ideal for undergraduate and graduate courses in sport management, analytics, and business, as well as for professionals seeking to build essential skills in a data-driven sport industry.
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