Transitioning to a Career in Sports Analytics

Course details

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.

Concepts

0. Introduction

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

1. Think About What You Want to Do in Sports Analytics

03 - Why do you want to work in sports analytics
04 - On-field analytics versus business analytics
05 - Aligning your passion with the right skill path
06 - Balancing immediate versus long-term career prospects

2. The Types of Jobs That Exist within Sports Analytics

07 - Analyst
08 - Data scientist
09 - Data engineer
10 - Data researcher
11 - Data reporting and business intelligence

3. Sports Industry Areas of Focus

12 - Ticketing
13 - Suites
14 - Corporate partnerships
15 - Marketing
16 - Product and tech
17 - Venue and operations
18 - Retail
19 - Food and beverage
20 - Customer experience

4. The Skills Needed to Become a Sports Analyst

21 - Critical thinking and domain knowledge
22 - Data retrieval
23 - Data cleaning
24 - Predictive modeling
25 - Statistics
26 - Segmentation
27 - Market research
28 - Storytelling with data
29 - Data visualization
30 - Coding and building data connections

5. Applications of Skills within the World of Sports

31 - Software tools
32 - Process improvement
33 - Classification and value attribution
34 - Customer lifetime value
35 - Inventory and revenue management
36 - Assessing return on investment (ROI)
37 - Influencing business partners
38 - Data analysis vs. data reporting

6. How to Get into the World of Sports

39 - Getting your work out there
40 - Conferences
41 - Networking
42 - Looking beyond teams and leagues
43 - Working internationally

Conclusion

44 - Continuing your journey into a sports analytics career