Data Science and Sports Analytics - Interview with Ken Jee

Dive into a captivating two-hour podcast featuring Data Scientist and Sports Analytics expert Ken Jee, interviewed by freeCodeCamp founder Quincy Larson. Explore Ken's journey from pro sports to data science, his work with US Team Golf and USA Basketball, and his insights on the intersection of sports and analytics. Discover how Ken communicates statistical insights to coaches and players, his views on building products versus projects in data science, and his daily meditation practice. Gain valuable perspectives on the future of AI tools and their impact on the data science field. The podcast covers a wide range of topics, including Ken's career transition, the importance of asking the right questions in data science, effective communication of statistical concepts, and networking in the industry. Learn about the tools and specializations in data science, the value of heuristics and long-form content, and Ken's optimism for the future of the field. Whether you're a data science enthusiast, sports fan, or curious learner, this podcast offers a wealth of knowledge and inspiration.

⌨️ Introduction and Background
⌨️ Early Days and Interest in Sports
⌨️ Transition to Data Science
⌨️ Return to Grad School and Introduction to Coding
⌨️ Sports Analytics and Career Path
⌨️ Psychological and Process Perspectives in Sports
⌨️ The Symphony of Data Analytics in Sports
⌨️ Learning Data Science and Kaggle
⌨️ Understanding Data Science
⌨️ The Tools and Specialization in Data Science
⌨️ The Importance of Asking the Right Questions
⌨️ Gaining Knowledge and Insights through Reading and Podcasts
⌨️ The Power of an Outsider's Perspective
⌨️ Enjoying Nature in Texas
⌨️ Building Products for Others to Use
⌨️ Introspection before Action for Career Satisfaction
⌨️ Effective Communication of Statistical Concepts
⌨️ The Value of Heuristics and Long-Form Content
⌨️ Networking and Conferences in the Data Science Field
⌨️ Optimism for the Future of Data Science