Python. Pandas. Web Scraping. Databases. SQL. Machine Learning. APIs.
All applied to Baseball Statistics
Learning to code isn't hard, there's just a learning curve. That's why the most important thing is starting with a project you're excited about.
This book will take you from playing around with stats in Excel to scraping websites, building databases and running your own machine learning models.
“This book was really, really well done.”
You'll learn — step by step and applied to baseball — how to program your own analysis. You'll also learn how to make plots like these 👇:
“Amazingly awesome... the way the learning is framed here is 10x what you'll get someplace else.”
About LTCWBB and the football version, which this book is based off of —
"The book here was really, really well done..."
"This is amazingly awesome. I’ve recently slowly crept into data science driven by a pet passion for fantasy sport analytics. ...the way the learning is framed here is 10x what you’ll get someplace else."
"...probably the best / most complete Pandas walk through I've seen."
"I really loved your book. You did an amazing job on it. ... I've been trying to get my son more into programming, and your book has been perfect... really clicked for him."
"...really helpful and a fun way to learn."
"...picked up more, and at a better pace, using this than a lot of the free online tools I’d been trying the past few months.
"Love the book... My python has come a very long way thanks to you."
"I have always wanted to learn a language but always seemed to get discouraged by the 'Hello World' chapters that were never ending. I like that your book cuts out the riff raff and teaches the important things! I'm flying through the book and feel like I'm learning a ton! Best wishes from a satisfied customer"
"...much more engaging for me personally because it’s info I’m interested in. I’ve taken automate the boring stuff, python for finance, etc and while those courses are great.. I seem to be understanding it better because its about a subject I like."
"I was amazed by how you broke down complicated concepts and made them easier to understand."
“I was amazed by how you broke down complicated concepts and made them easier to understand.”
Includes book, datasets, example scripts, end of chapter problems with full solutions, and flashcards.
The 270 page book in PDF format
300+ spaced repetition flash cards
23 example scripts, 10 datasets
100+ practice problems with full solutions
30 day money back guarantee!
30 Day Money Back Guarantee
Try it! If you're not satisified, contact me within 30 days and I'll refund you the purchase price.
“I've taken automate the boring stuff, python for finance, etc and while those course are great... I seem to be understanding it better because its about a subject I like.”
See the full table of contents
Python — This flexible language is the foundation of everything from data munging to web scraping to machine learning. You'll also learn about its key data library Pandas, the modeling and machine learning libraries statsmodels and scikit-learn, and how to do data visualizations with seaborn.
Web Scraping and APIs — Next time you run across a site with data you'd like to analyze you'll know how to grab data via its public API if it's available, or build a web scraper to get it yourself if it's not.
Machine Learning and Statistics — You'll learn the difference between a regression and a random forest, and will know when and how to build both.
Databases and SQL — Build your own database — whether it's for player statistics, to keep track of opponent tenancies, etc — and use SQL to get data in and out of it.
All in the context of baseball and designed so you can learn how to apply them to your own questions and do your own analysis.
Hi! My name is Nate and I'm a self-taught programmer and data scientist based in Milwaukee, WI.
A few years ago, I didn't know anything about Python, SQL, machine learning, web scraping or any of the other topics covered here.
So, I taught myself. It took a few years and I ran into a lot of dead ends along the way, but ultimately I figured it out. In this book, I distill everything I've learned to provide a step-by-step guide to doing baseball analytics and get you up and running as quickly as possible.
"I can't tell you how many times I've tried to get into programming and gave up because it was so dry. This has been such a nice change of pace and I'm loving it."
"I just bought your book and have to say I enjoy it immensely so far."
"...exactly what I needed to finally get past tutorial hell and apply Python to something I love."
"it's been great refreshers for basic Python... I appreciate the Anki cards ... they're helping cement the terminology..."
"...it helped me tremendously ... I wouldn't be where I'm at with the Python language today without this book to kick start things."
"...very engaging so far compared to some of the other online resources I've tried to pick this up with."
"...could not be more satisfied with the content. ...it has been great to work through your in-depth examples learning new skills. I had a previous interest in this sort of analysis and have had intermediate programming experience, but never could tie the two together."
"Incredible work! Bought it right away. Only 3 chapters in and this book is already better than expected. Worth every penny. Thank you!"
"...recently bought Learn to Code with Baseball and am thoroughly enjoying it and learning some new things along the way..."
"...the book is very well structured and easy to follow... I found it very helpful!"
"...your book is great. It's exactly what I needed to motivate me to push through..."
"...very informative and good intro to coding. Additionally, [Nate] would answer any questions I emailed him within 24 hours. Excellent customer service and pushed new editions to everyone who had already paid. I really appreciate [Nate]’s commitment to his product."
"I spent a few minutes going through the charting examples... I really REALLY enjoyed it."
"I've been fascinated by sports and statistics from a young age... throughout my college career... no professor was able to get me excited about a subject matter like the first 20 pages of [LTCWFF]..."