Wrangling Major League Baseball Pitchf&x Data with Python

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2020-04-21
Learners

No Information
Duration

No Information
Instructor

Chaz Henry

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4.3

3,097 Ratings

This course is perfect for coders, SaberMetricians, and baseball fans who want to gain insight into the MoneyBall phenomenon and the next wave of player development. Through the use of Python, learners will be able to wrangle MLB PitchF/x data from Clayton Kershaw's 2014 no-hitter and graph the pitches with MatPlotLib and PyPlot. Along the way, learners will also learn best practices for Jupyter Notebook, Python coding, XML parsing, and more. This course provides new learners with an introduction to SaberMetrics, the empirical study of baseball statistics. Don't miss out on this opportunity to explore the world of SaberMetrics and MoneyBall!

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Wrangling Major League Baseball Pitchf&x Data with Python

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course introduces new learners to SaberMetrics, the empirical study of baseball statistics. Learners will use Python to wrangle MLB PitchF/x data from Clayton Kershaw's 2014 no-hitter and graph the pitches with MatPlotLib and PyPlot. Best practices for Jupyter Notebook, Python coding, XML parsing, and more will also be covered. This course is suitable for coders, SaberMetricians, and baseball fans who are interested in gaining insight into MoneyBall and the next wave of player development.

Course Syllabus

Introduction

Coding

Plotting

Plotting Variations

Kershaw Pitch Tendencies

Wrap Up

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