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