Data Science and Sports Analytics Expert Ken Jee [Podcast
On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Ken Jee. Ken's a Data Scientist. He's also a Sports Analytics practitioner who works with US Team Golf and USA Basketball.
Ken hosts the excellent Ken's Nearest Neighbors podcast and the Exponential Athlete podcast.
We talk about:
How an injury pushed Ken out of pro sports and into data science
How Ken explains his statistical insights to coaches and players to help them improve their performance
Why Ken doesn't think building projects is all that useful anymore. "Data Scientists should instead build products."
How Ken starts and ends each day with meditation, and writes down all the ideas that pop into his head after each session.
Ken's observation that: "Who is the best suited to excel in a world where AI tools are prominent? Probably the people who are building them. People in the data science domain, people who are coding – they're the most prepared to use these tools for other things."
Can you guess what song I'm playing on my bass during the intro? It's from a 2006 dance song, and it was originally played on a synth.
Also, I want to thank the 9,779 kind people who support our charity each month, and who make this podcast possible. You can join them and support our mission at: https://www.freecodecamp.org/donate
Links we talk about during our conversation:
Ken's Nearest Neighbors Podcast: / @knnpodcast
The Exponential Athelete Podcast, also hosted by Ken: • The Exponential Athlete Podcast
The Founders podcast, which both Ken and Quincy listen to. James Dyson episode: https://www.founderspodcast.com/episo...
Anna Wintour episode: https://www.founderspodcast.com/episo...
San Antonio caves that Quincy visited: https://naturalbridgecaverns.com/
Chapters
⌨️ (0:00:00) Introduction and Background
⌨️ (0:03:45) Early Days and Interest in Sports
⌨️ (0:07:17) Transition to Data Science
⌨️ (0:12:13) Return to Grad School and Introduction to Coding
⌨️ (0:15:59) Sports Analytics and Career Path
⌨️ (0:20:34) Psychological and Process Perspectives in Sports
⌨️ (0:24:48) The Symphony of Data Analytics in Sports
⌨️ (0:31:44) Learning Data Science and Kaggle
⌨️ (0:41:49) Understanding Data Science
⌨️ (0:42:23) The Tools and Specialization in Data Science
⌨️ (0:45:26) The Importance of Asking the Right Questions
⌨️ (0:51:13) Gaining Knowledge and Insights through Reading and Podcasts
⌨️ (0:58:53) The Power of an Outsider's Perspective
⌨️ (1:06:59) Enjoying Nature in Texas
⌨️ (1:15:32) Building Products for Others to Use
⌨️ (1:24:41) Introspection before Action for Career Satisfaction
⌨️ (1:25:16) Effective Communication of Statistical Concepts
⌨️ (1:32:29) The Value of Heuristics and Long-Form Content
⌨️ (1:40:48) Networking and Conferences in the Data Science Field
⌨️ (1:47:45) Optimism for the Future of Data Science
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