An Introduction to Applied Sport Analytics - Image 1

£78.99

Elsevier An Introduction to Applied Sport Analytics

Name: An Introduction to Applied Sport Analytics
Brand: Elsevier
Price: 78.99 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£79 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 70 days · 70 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 70 days • 1 price levels

Days at Price

Price Analysis

Most common price: £79 (70 days, 100.0%)

Price range: £79 - £79

Price levels: 1 different prices over 70 days

Description

An Introduction to Applied Sport Analytics offers a step-by-step path for applying data-driven methods in sports. 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. 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 and a dedicated section on data visualization walks readers through designing reports and dashboards using Power BI and Tableau. The book 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, this book 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. Provides a clear and didactic understanding of essential concepts in sports analytics, including correlation and linear regression Includes numerous illustrations, examples, and case studies, which provide clear explanations and additional context Aligns with commonly offered upper-level courses in sports analytics, sports management, and related fields Serves as a valuable resource for students and as a solid foundational material for early-stage researchers Offers online support, including additional datasets, quizzes and solutions, and supplemental video content

Product Specifications

Brand: Elsevier
Format: paperback
ASIN: 0443490686
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 05 November 2026
Listed Since: 22 April 2026

Barcode

No barcode data available

Elsevier An Introduction to Applied Sport Analytics

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Sport Industry Research and Analysis: An Informed Approach to Decision Making

Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance (Routledge Studies in Sports Performance Analysis)

An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences

Sports Research with Analytical Solution using SPSS

Sport Business Analytics: Using Data to Increase Revenue and Improve Operational Efficiency (Data Analytics Applications)

Statistical Analysis: The Basics

Machine Learning Made Visual with Python

Artificial Intelligence, Optimization, and Data Sciences in Sports: 218 (Springer Optimization and Its Applications, 218)

Data Analysis in Sports Science: Utilizing SPSS and ChatGPT

A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

Business Analytics for Managers (Use R!)

Introduction to Linear Regression Analysis: Textbook and Student Solutions Manual

Business Intelligence and Data Analysis in the Age of AI (MLI Generative AI Series)

Applied Statistics for Business and Management using Microsoft Excel

Practical Business Analytics Using SAS: A Hands-on Guide

Applying Data Science: How to Create Value with Artificial Intelligence

Business Analytics: Data Science for Business Problems

Teaching Data Analytics: Pedagogy and Program Design (Data Analytics Applications)

Introduction to Statistics with Python: The Essential Guide to Data Analysis and Visualization for Aspiring Data Scientists

Winning with Data in the Business of Sports: CRM and Analytics

Business Analytics with Python: Essential Skills for Business Students

Advancing into Analytics: From Excel to Python and R

Regression Analysis and its Application: A Data-Oriented Approach: 34 (Statistics: A Series of Textbooks and Monographs)

Python for Data & Analytics: A Business-Oriented Approach