Treffer: A Case Study and Guide for Sport Data Analytics: Using Python and Yahoo! Finance Data to Run Practical Analyses in the Sport Management Classroom

Title:
A Case Study and Guide for Sport Data Analytics: Using Python and Yahoo! Finance Data to Run Practical Analyses in the Sport Management Classroom
Language:
English
Authors:
Zack J. Damon, Michael E. Ellis (ORCID 0000-0001-8682-3873)
Source:
Sport Management Education Journal. 2025 19(1):46-53.
Availability:
Human Kinetics, Inc. 1607 North Market Street, Champaign, IL 61820. Tel: 800-474-4457; Fax: 217-351-1549; e-mail: info@hkusa.com; Web site: https://journals.humankinetics.com/view/journals/smej/smej-overview.xml
Peer Reviewed:
Y
Page Count:
8
Publication Date:
2025
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Higher Education
Postsecondary Education
DOI:
10.1123/smej.2023-0025
ISSN:
1938-6974
2163-2367
Entry Date:
2025
Accession Number:
EJ1467985
Database:
ERIC

Weitere Informationen

Sport analytics remains a growing area in the sport industry. As such, the demand for skills and knowledge in this area has grown. This demand includes off-field data, such as marketing trends, as well as financial data related to sport organizations. There has been a trickle-down effect in sport management (and other) education programs to teach about analytics to better prepare students for these positions. The current case study will help instructors teach students analytics skills related to data exploration and analysis through Python, a common analytics and coding program. The case study presents an overview of the importance of sport analytics in the industry. We then present the code to be used in teaching a class related to scraping financial data from Yahoo!Finance and provide sample analyses with related code for assignments.

As Provided