Ted Kwartler's Books

Sports Analytics in Practice with R

By: Ted Kwartler

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Sports Analytics in Practice with R

By: Ted Kwartler

Sports Analytics in Practice with R A practical guide for those looking to employ the latest and leading analytical software in sport In the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with “Money Ball” analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this methodology for assessing performance has matured and grown in importance, so too has the open-source R software emerged as one of the leading analytical software packages. In fact, R is a top 10 programming language that is useful in academia and industry for statistics, machine learning, and rapid prototyping. Sports Analytics in Practice with R neatly marries these two advances to teach basic analytics for sports-related use—from cricket to baseball, from basketball to tennis, from soccer to sports gambling, and more. Sports Analytics in Practice with R readers will also find: A broad perspective of sports, focusing on a wide range of sports rather than just one The first book of its kind that features coding examples Case study approach throughout the book Companion website including data sets to work through alongside the explanations Sports Analytics in Practice with R is a helpful tool for students and professionals in the sports management field, but also for sports enthusiasts who have a coding background.

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Page Count

276

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119598079

ISBN 13

9781119598077

Text Mining in Practice with R

By: Ted Kwartler

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Text Mining in Practice with R

By: Ted Kwartler

A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get your creative text mining efforts started right away. With the help of numerous real-world examples and case studies from industries ranging from healthcare to entertainment to telecommunications, he demonstrates how to execute an array of text mining processes and functions, including sentiment scoring, topic modelling, predictive modelling, extracting clickbait from headlines, and more. You’ll learn how to: Identify actionable social media posts to improve customer service Use text mining in HR to identify candidate perceptions of an organisation, match job descriptions with resumes, and more Extract priceless information from virtually all digital and print sources, including the news media, social media sites, PDFs, and even JPEG and GIF image files Make text mining an integral component of marketing in order to identify brand evangelists, impact customer propensity modelling, and much more Most companies’ data mining efforts focus almost exclusively on numerical and categorical data, while text remains a largely untapped resource. Especially in a global marketplace where being first to identify and respond to customer needs and expectations imparts an unbeatable competitive advantage, text represents a source of immense potential value. Unfortunately, there is no reliable, cost-effective technology for extracting analytical insights from the huge and ever-growing volume of text available online and other digital sources, as well as from paper documents—until now.

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Page Count

320

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119282012

ISBN 13

9781119282013

Applied Sport Business Analytics

By: Christopher Atwater,Robert E. Baker,Ted Kwartler

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Applied Sport Business Analytics

By: Christopher Atwater,Robert E. Baker,Ted Kwartler

Applied Sport Business Analytics With HKPropel Access provides a practical explanation of the use of data analytic metrics in sport, exploring selected techniques and tools as well as addressing fundamental applications of analytics within modern sports organizations. Current and aspiring sport managers will develop their understanding of how analytics can be used strategically to make data-informed decisions by selecting and translating data into evidence and meaningful metrics. The text begins with an introduction to the world of analytics, exploring the social, economic, and business foundations that form the history of data analytics. Different strategies used to make data-driven decisions are discussed to demonstrate the importance of analytics in a modern sport context. The text explains terms and methods that are typical in sport analytics, bridging the gap between sport managers and sport analysts to help them understand the perceptions and needs of one another. The text’s focus on quantitative statistical analysis—with its exploration of modeling, predictive analytics, and forecasting—helps students learn how to analyze data and make use of it. Students will then learn to turn data into visual representations such as cluster diagrams to reveal clear results. With practical exercises that utilize five included datasets and are heavily support by related video tutorials delivered through HKPropel, even those without programming experience will learn how to program and transform complex statistical data into easy-to-understand visuals. Case studies exploring real-world scenarios—including player position analysis in women's professional basketball, esport player popularity and market analysis, and prospective player evaluation for the NFL draft—examine managerial implications to help develop understanding of what questions to ask, how to interpret data, and how to use data to make informed decisions. Finally, an in-depth look at how cutting-edge analytics mechanisms were used to analyze over one million tweets associated with the NBA over an entire season will illustrate how to successfully work with large amounts of data to achieve results. Concepts throughout the book are made easy to understand through exercises, datasets, and video lectures on key topics, all accessible through HKPropel. These tools combine to provide valuable experience and practical understanding. Interview With a Professional sidebars offer additional real-world glimpses into the use of analytics by practitioners in sport business. Applied Sport Business Analytics will provide a broader and deeper knowledge of the use of sport analytics for aspiring sport managers, data analysts, and practitioners alike. It will prepare them to translate metrics in a useful way that allows them to make data-informed and data-driven decisions to achieve desired outcomes in their organization. Note: A code for accessing HKPropel is not included with this ebook but may be purchased separately.

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Page Count

218

Publisher

Human Kinetics

Published Date

ISBN 10

1492598542

ISBN 13

9781492598541

Text Mining in Practice with R

By: Ted Kwartler

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Text Mining in Practice with R

By: Ted Kwartler

With the help of numerous real-world examples and case studies, this book takes a practical, hands-on approach to teaching you a reliable, cost-effective method to mining the vast, untold riches buried within all forms of text using R. --

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Page Count

309

Published Date

ISBN 10

1119282101

ISBN 13

9781119282105

Sports Analytics in Practice with R

By: Ted Kwartler

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Sports Analytics in Practice with R

By: Ted Kwartler

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Solve jigsaw puzzle

Age

Page Count

276

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119598079

ISBN 13

9781119598077

Applied Sport Business Analytics

By: Christopher Atwater,Robert E. Baker,Ted Kwartler

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Applied Sport Business Analytics

By: Christopher Atwater,Robert E. Baker,Ted Kwartler

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

218

Publisher

Human Kinetics

Published Date

ISBN 10

1492598542

ISBN 13

9781492598541

Book's by Ted Kwartler

Sports Analytics in Practice with R

Sports Analytics in Practice with R

Text Mining in Practice with R

Text Mining in Practice with R

Applied Sport Business Analytics

Applied Sport Business Analytics

Text Mining in Practice with R

Text Mining in Practice with R

Sports Analytics in Practice with R

Sports Analytics in Practice with R

Applied Sport Business Analytics

Applied Sport Business Analytics

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