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By The Numbers: Where Should The NBA Put a 4 Point Line?
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Classroom Contents
Sports Analytics
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- 1 How YOU Can Land a Sports Analytics Job
- 2 The 4 Types of Sports Analytics Projects
- 3 How Far Should the NBA 3-Point Line Actually Be?
- 4 By The Numbers: Where Should The NBA Put a 4 Point Line?
- 5 How to Scrape NBA Data Using the nba_api Python Module
- 6 What is Sports Analytics Really?
- 7 Collision Course: Sports Betting + Data Science
- 8 5 Sports Analytics Books to Get You Started
- 9 Golf: Would You Rather Be the LONGEST or STRAIGHTEST Driver on the PGA Tour?
- 10 Data Science in Golf: PGA Merchandise Show 2020
- 11 Golf STATS: Strokes Gained Explained
- 12 The Best Way to Predict NBA Minutes Played
- 13 How to Simulate NBA Games in Python
- 14 Predicting Season Long NBA Wins Using Multiple Linear Regression
- 15 How Much Did Cheating Help the Astros Win? (What the Numbers Say)
- 16 Data Science in Sports - Talk for Northwestern (Kellogg) MBA Students
- 17 Sports Analytics & Streaming Data Science on Twitch (Nick Wan) - KNN EP. 08
- 18 MARCH MADNESS - Will My Machine Learning Model Beat Your Bracket?
