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Sports Analytics

Ken Jee via YouTube

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Overview

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Dive into the world of sports analytics through a comprehensive series of videos covering various aspects of data science in sports. Learn how to land a job in sports analytics, explore different types of analytics projects, and analyze controversial topics like the optimal placement of the NBA 3-point line. Master techniques for scraping NBA data using Python, understand the fundamentals of sports analytics, and explore the intersection of sports betting and data science. Discover recommended sports analytics books, examine golf statistics including driving distance and accuracy, and learn about strokes gained analysis. Apply data science concepts to predict NBA player minutes and simulate games, use multiple linear regression to forecast season-long NBA wins, and investigate the impact of cheating in baseball. Gain insights from industry professionals, including a talk for MBA students and a discussion on streaming data science. Finally, put your skills to the test by creating a machine learning model for March Madness predictions.

Syllabus

How YOU Can Land a Sports Analytics Job.
The 4 Types of Sports Analytics Projects.
How Far Should the NBA 3-Point Line Actually Be?.
By The Numbers: Where Should The NBA Put a 4 Point Line?.
How to Scrape NBA Data Using the nba_api Python Module.
What is Sports Analytics Really?.
Collision Course: Sports Betting + Data Science.
5 Sports Analytics Books to Get You Started.
Golf: Would You Rather Be the LONGEST or STRAIGHTEST Driver on the PGA Tour?.
Data Science in Golf: PGA Merchandise Show 2020.
Golf STATS: Strokes Gained Explained.
The Best Way to Predict NBA Minutes Played.
How to Simulate NBA Games in Python.
Predicting Season Long NBA Wins Using Multiple Linear Regression.
How Much Did Cheating Help the Astros Win? (What the Numbers Say).
Data Science in Sports - Talk for Northwestern (Kellogg) MBA Students.
Sports Analytics & Streaming Data Science on Twitch (Nick Wan) - KNN EP. 08.
MARCH MADNESS - Will My Machine Learning Model Beat Your Bracket?.

Taught by

Ken Jee

Reviews

4.3 rating, based on 7 Class Central reviews

Start your review of Sports Analytics

  • Kuruva Chenchu Venkata Pavan
    I really impressed with ur teaching skills it's too adorable for meh it's fantastic classes are what you present 😀 must the ur classes are really to easy to understand
  • MAHDI KARIMI
    Great programs sports analytice for coach and learning more and good expernce , i hope use this plan for sports developments , importent sports analytice every coach
  • Jishnauv Sibi Sauvrauv V.S
    It's is a nice course about sports it was easy to understand I like to learn about sports analytics in class central
  • Leela Kesava Sai Guru Murthy Lingam
    I am watching cricket since 2014 and my age is 21 i thought it first just a time pass after listening the classes i learn very new knowledge and it very help full for cricket fans and thankuuu💓
  • Yeray Rodriguez
    Very interesting, but a little complex in my opinion. Very good for intermediate or advanced analytics, not beginners I think.
  • Sikkandhar Oli Raj
    Thank you class centre nice course I learn lot of things sports analysis and data science.kan jee class very useful for sports studys.Thank u
  • Profile image for Chuene Morifi
    Chuene Morifi
    This course offers a systematic review of research in the emerging field of sport analytics, which is receiving increasing attention in practice and research circles
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