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Applied Sport Business Analytics provides a practical explanation of the use of data analytics in sport. It will prepare sport managers and data analysts to translate metrics in a useful way that allows them to make data-informed decisions to achieve desired outcomes in their organization.
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Applied Sport Business Analytics provides a practical explanation of the use of data analytics in sport. It will prepare sport managers and data analysts to translate metrics in a useful way that allows them to make data-informed decisions to achieve desired outcomes in their organization.
Produktdetails
- Produktdetails
- Verlag: Human Kinetics Publishers
- Seitenzahl: 216
- Erscheinungstermin: 17. März 2022
- Englisch
- Abmessung: 221mm x 280mm x 16mm
- Gewicht: 716g
- ISBN-13: 9781492598534
- ISBN-10: 1492598534
- Artikelnr.: 62951177
- Verlag: Human Kinetics Publishers
- Seitenzahl: 216
- Erscheinungstermin: 17. März 2022
- Englisch
- Abmessung: 221mm x 280mm x 16mm
- Gewicht: 716g
- ISBN-13: 9781492598534
- ISBN-10: 1492598534
- Artikelnr.: 62951177
Christopher Atwater is an assistant professor of sport management in the School of Hospitality, Sport, and Tourism Management at Troy University. He teaches analytics courses at the graduate and undergraduate levels. Robert Baker is a professor and the director of the Center for Sport Management at George Mason University. He is a former president of the North American Society for Sport Management (NASSM), a founding board member of the World Association for Sport Management (WASM), and a founding commissioner of the Commission on Sport Management Accreditation (COSMA). He has conducted numerous presentations and produced articles on sport analytics. Ted Kwartler earned his MBA from Notre Dame. He is an instructor at Harvard University. He has conducted many presentations and written articles on sport analytics. He also authored a popular book entitled Text Mining.
Chapter 1. Foundations of Analytics for Sport Managers
A Brief History of Analytics in Sport
Evolution of Sport Analytics and the MIT Sloan Sports Analytics Conference
Data and Decision-Making
Systems and Analytics
Emerging Applications of Sport Analytics
Summary
Online Activities
References
Chapter 2. Working With Quantitative Data in R
R Basics
Exploring Datasets
Isolating Variables With Brackets, c(), and Operators
Descriptive Statistics
Inferential Statistics
Summary
Online Activities
References
Chapter 3. Plotting Data in R
Base Plotting Structures in R
Setting and Mapping Plot Elements
Plotting Data With ggplot2()
Map Plots
Summary
Online Activities
References
Chapter 4. Data-Driven Decision-Making
Machine Learning Analysis: WNBA Players’ Positions Analytics Application
Esport Analytics Application
European Football Analytics Application
NFL Player Evaluations Analytics Application
Comparative Analysis of Male and Female Prize Monies and Salaries Analytics
Application
Online Activities
References
Chapter 5. Natural Language Processing and Text Mining
Language as Object Classes and Strings
Basic Text Processing Workflow
Identify Text Sources, Preprocessing, and Feature Extraction
Analytics
Insight and Recommendations
Summary
Online Activities
References
A Brief History of Analytics in Sport
Evolution of Sport Analytics and the MIT Sloan Sports Analytics Conference
Data and Decision-Making
Systems and Analytics
Emerging Applications of Sport Analytics
Summary
Online Activities
References
Chapter 2. Working With Quantitative Data in R
R Basics
Exploring Datasets
Isolating Variables With Brackets, c(), and Operators
Descriptive Statistics
Inferential Statistics
Summary
Online Activities
References
Chapter 3. Plotting Data in R
Base Plotting Structures in R
Setting and Mapping Plot Elements
Plotting Data With ggplot2()
Map Plots
Summary
Online Activities
References
Chapter 4. Data-Driven Decision-Making
Machine Learning Analysis: WNBA Players’ Positions Analytics Application
Esport Analytics Application
European Football Analytics Application
NFL Player Evaluations Analytics Application
Comparative Analysis of Male and Female Prize Monies and Salaries Analytics
Application
Online Activities
References
Chapter 5. Natural Language Processing and Text Mining
Language as Object Classes and Strings
Basic Text Processing Workflow
Identify Text Sources, Preprocessing, and Feature Extraction
Analytics
Insight and Recommendations
Summary
Online Activities
References
Chapter 1. Foundations of Analytics for Sport Managers
A Brief History of Analytics in Sport
Evolution of Sport Analytics and the MIT Sloan Sports Analytics Conference
Data and Decision-Making
Systems and Analytics
Emerging Applications of Sport Analytics
Summary
Online Activities
References
Chapter 2. Working With Quantitative Data in R
R Basics
Exploring Datasets
Isolating Variables With Brackets, c(), and Operators
Descriptive Statistics
Inferential Statistics
Summary
Online Activities
References
Chapter 3. Plotting Data in R
Base Plotting Structures in R
Setting and Mapping Plot Elements
Plotting Data With ggplot2()
Map Plots
Summary
Online Activities
References
Chapter 4. Data-Driven Decision-Making
Machine Learning Analysis: WNBA Players’ Positions Analytics Application
Esport Analytics Application
European Football Analytics Application
NFL Player Evaluations Analytics Application
Comparative Analysis of Male and Female Prize Monies and Salaries Analytics
Application
Online Activities
References
Chapter 5. Natural Language Processing and Text Mining
Language as Object Classes and Strings
Basic Text Processing Workflow
Identify Text Sources, Preprocessing, and Feature Extraction
Analytics
Insight and Recommendations
Summary
Online Activities
References
A Brief History of Analytics in Sport
Evolution of Sport Analytics and the MIT Sloan Sports Analytics Conference
Data and Decision-Making
Systems and Analytics
Emerging Applications of Sport Analytics
Summary
Online Activities
References
Chapter 2. Working With Quantitative Data in R
R Basics
Exploring Datasets
Isolating Variables With Brackets, c(), and Operators
Descriptive Statistics
Inferential Statistics
Summary
Online Activities
References
Chapter 3. Plotting Data in R
Base Plotting Structures in R
Setting and Mapping Plot Elements
Plotting Data With ggplot2()
Map Plots
Summary
Online Activities
References
Chapter 4. Data-Driven Decision-Making
Machine Learning Analysis: WNBA Players’ Positions Analytics Application
Esport Analytics Application
European Football Analytics Application
NFL Player Evaluations Analytics Application
Comparative Analysis of Male and Female Prize Monies and Salaries Analytics
Application
Online Activities
References
Chapter 5. Natural Language Processing and Text Mining
Language as Object Classes and Strings
Basic Text Processing Workflow
Identify Text Sources, Preprocessing, and Feature Extraction
Analytics
Insight and Recommendations
Summary
Online Activities
References