The Data Science of Sports Management with Barton Poulson faq

learnersLearners: 15,900
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Barton Poulson explores the implications of data science on the sports industry, examining its effects on sports management, audiences, and related industries. Learn how data science is transforming the world of sports.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

LinkedIn Learning

certificateCertificate:

No Information

languageLanguage:

English

Course Overview

❗The content presented here is sourced directly from LinkedIn Learning platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

Barton Poulson's course, The Data Science of Sports Management, provides an in-depth look at the ways in which data science is impacting the world of sports and sports management. Poulson takes a nontechnical approach to the course, making it accessible to sports fans with a variety of technical backgrounds. The course covers topics such as the measurement of athletic performance, ticket pricing, coaching players, and more. Participants will gain a better understanding of the profound impact data science has on audiences and related industries.

[Applications]
After completing this course, students can apply the data science principles they have learned to measure athletic performance, set ticket prices, and coach players. They can also use the knowledge they have gained to better understand the broader impact of data science on sports and sports management, as well as its influence on audiences and related industries.

[Career Paths]
1. Sports Analytics Manager: Sports analytics managers use data science to analyze and interpret data related to sports performance, team strategies, and fan engagement. They use this data to develop strategies to improve team performance, increase fan engagement, and maximize revenue. This job is becoming increasingly important as teams look to gain a competitive edge in the sports industry.

2. Sports Data Scientist: Sports data scientists use data science to analyze and interpret data related to sports performance, team strategies, and fan engagement. They use this data to develop strategies to improve team performance, increase fan engagement, and maximize revenue. This job is becoming increasingly important as teams look to gain a competitive edge in the sports industry.

3. Sports Marketing Analyst: Sports marketing analysts use data science to analyze and interpret data related to sports marketing campaigns. They use this data to develop strategies to increase fan engagement, maximize revenue, and improve the overall success of marketing campaigns. This job is becoming increasingly important as teams look to gain a competitive edge in the sports industry.

4. Sports Technology Manager: Sports technology managers use data science to analyze and interpret data related to sports technology. They use this data to develop strategies to improve team performance, increase fan engagement, and maximize revenue. This job is becoming increasingly important as teams look to gain a competitive edge in the sports industry.

[Education Paths]
1. Bachelor of Science in Sports Management: This degree program provides students with the knowledge and skills to manage sports teams, leagues, and organizations. It covers topics such as sports marketing, finance, and law. Students will also learn about data analysis and analytics, which are essential for understanding the performance of athletes and teams. This degree is becoming increasingly popular as the use of data science in sports management continues to grow.

2. Master of Science in Sports Analytics: This degree program focuses on the application of data science and analytics to sports management. Students will learn how to use data to analyze and optimize the performance of athletes and teams. They will also learn how to use data to make decisions about ticket pricing, marketing, and other aspects of sports management. This degree is becoming increasingly popular as the use of data science in sports management continues to grow.

3. Master of Business Administration in Sports Management: This degree program provides students with the knowledge and skills to manage sports teams, leagues, and organizations. It covers topics such as sports marketing, finance, and law. Students will also learn about data analysis and analytics, which are essential for understanding the performance of athletes and teams. This degree is becoming increasingly popular as the use of data science in sports management continues to grow.

4. Doctor of Philosophy in Sports Analytics: This degree program focuses on the application of data science and analytics to sports management. Students will learn how to use data to analyze and optimize the performance of athletes and teams. They will also learn how to use data to make decisions about ticket pricing, marketing, and other aspects of sports management. This degree is becoming increasingly popular as the use of data science in sports management continues to grow.

Course Syllabus

Moneyball

Measure athlete performance

Coaching and data science

Sports and media deals

Ticket pricing algorithms

Build an audience in sports

Audience interactions and projections

Legal and ethical issues

Careers in sports management

Course Provider

Provider LinkedIn Learning's Stats at AZClass

Data Science in Sport Management, taught by Barton Poulson, is a comprehensive course that explores the profound impact of data science on the world of sports and sport management. Through this course, learners will understand how to use data science principles to measure sports performance, ticket pricing, coach players, and other topics. Barton Poulson takes a non-technical approach to the course, making it accessible to sports fans of all technical backgrounds. Learners will gain an understanding of the fundamentals of data science, including big data, data analytics, sports analysis, sports data, and sports statistics. They will also appreciate the wider impact of data science on audiences and related industries.

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