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Transitioning to a Career in Sports Analytics

سرفصل های دوره

Are you looking to break into the exciting world of sports analytics, but not sure where to begin? This course covers the initial questions that potential applicants and prospective candidates should answer for themselves regarding their interest in the profession. Join instructor Ray Yocke for an overview of what it takes—from skills and core concepts to industry-leading knowledge—to stand out to prospective employers and land a new role or change careers to the field. Explore the different types of roles available within the industry so you can focus on the roles that make the most sense for you, highlighting your interests and skill set as an analyst to find the right companies and leaders to build your career.

This course is designed for anyone looking to break into the sports analytics field, but also for analysts currently working in other industries who are interested in transitioning into a new line of work.


01 - Introduction
  • 01 - Getting into a sports analytics career
  • 02 - What you should know about the sports analytics field

  • 02 - 1. Think About What You Want to Do in Sports Analytics
  • 01 - Why do you want to work in sports analytics
  • 02 - On-field analytics versus business analytics
  • 03 - Aligning your passion with the right skill path
  • 04 - Balancing immediate versus long-term career prospects

  • 03 - 2. The Types of Jobs That Exist within Sports Analytics
  • 01 - Analyst
  • 02 - Data scientist
  • 03 - Data engineer
  • 04 - Data researcher
  • 05 - Data reporting and business intelligence

  • 04 - 3. Sports Industry Areas of Focus
  • 01 - Ticketing
  • 02 - Suites
  • 03 - Corporate partnerships
  • 04 - Marketing
  • 05 - Product and tech
  • 06 - Venue and operations
  • 07 - Retail
  • 08 - Food and beverage
  • 09 - Customer experience

  • 05 - 4. The Skills Needed to Become a Sports Analyst
  • 01 - Critical thinking and domain knowledge
  • 02 - Data retrieval
  • 03 - Data cleaning
  • 04 - Predictive modeling
  • 05 - Statistics
  • 06 - Segmentation
  • 07 - Market research
  • 08 - Storytelling with data
  • 09 - Data visualization
  • 10 - Coding and building data connections

  • 06 - 5. Applications of Skills within the World of Sports
  • 01 - Software tools
  • 02 - Process improvement
  • 03 - Classification and value attribution
  • 04 - Customer lifetime value
  • 05 - Inventory and revenue management
  • 06 - Assessing return on investment (ROI)
  • 07 - Influencing business partners
  • 08 - Data analysis vs. data reporting

  • 07 - 6. How to Get into the World of Sports
  • 01 - Getting your work out there
  • 02 - Conferences
  • 03 - Networking
  • 04 - Looking beyond teams and leagues
  • 05 - Working internationally

  • 08 - Conclusion
  • 01 - Continuing your journey into a sports analytics career
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