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How to get started in Sport Analytics (Python, R, SQL, Visualisations) - @McKayJohns #41
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The guest for this weeks video is McKay Johns! If you have an interest in sports analytics and have been on YouTube or Twitter in the last few years then you probably already know who McKay is!.
McKay has his own channel where he shares incredibly valuable tutorials and other tips on getting started in sports analytics. He has been a real help for so many new football analysts and so I so happy to be able to do this collaboration with him. Thanks for all the work you do McKay!
0:00 - Introduction
2:11 - McKay joins and gives overview, different types of data roles
7:30 - Inspirations for McKay, getting started
10:42 - Keeping up with trends, picking a niche
14:08 - The tools that McKay uses, Python, R, SQL
19:26 - Tips for getting started, questions from viewers
34:29 - McKays predictions for the future, AI, ChatGPT
42:43 - Web scraping
45:20 - Analysis of Jude Bellingham
49:29 - Nice, visual tables using Python
51:34 - Book recommendations, summary, wrap up
Books mentioned by McKay:
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USEFUL LINKS
FREE RESOURCES
MY OTHER SOCIALS
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