Data Science and Sports Analytics - Interview with Ken Jee

Data Science and Sports Analytics - Interview with Ken Jee

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⌨️ Learning Data Science and Kaggle

8 of 20

8 of 20

⌨️ Learning Data Science and Kaggle

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Data Science and Sports Analytics - Interview with Ken Jee

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  1. 1 ⌨️ Introduction and Background
  2. 2 ⌨️ Early Days and Interest in Sports
  3. 3 ⌨️ Transition to Data Science
  4. 4 ⌨️ Return to Grad School and Introduction to Coding
  5. 5 ⌨️ Sports Analytics and Career Path
  6. 6 ⌨️ Psychological and Process Perspectives in Sports
  7. 7 ⌨️ The Symphony of Data Analytics in Sports
  8. 8 ⌨️ Learning Data Science and Kaggle
  9. 9 ⌨️ Understanding Data Science
  10. 10 ⌨️ The Tools and Specialization in Data Science
  11. 11 ⌨️ The Importance of Asking the Right Questions
  12. 12 ⌨️ Gaining Knowledge and Insights through Reading and Podcasts
  13. 13 ⌨️ The Power of an Outsider's Perspective
  14. 14 ⌨️ Enjoying Nature in Texas
  15. 15 ⌨️ Building Products for Others to Use
  16. 16 ⌨️ Introspection before Action for Career Satisfaction
  17. 17 ⌨️ Effective Communication of Statistical Concepts
  18. 18 ⌨️ The Value of Heuristics and Long-Form Content
  19. 19 ⌨️ Networking and Conferences in the Data Science Field
  20. 20 ⌨️ Optimism for the Future of Data Science

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