Nathan Braun – Learn To Code With Soccer

Learn To Code With Soccer: Python. Pandas. Web Scraping. Databases. SQL. Machine Learning. APIs. All applied to Soccer data.

Soccer is a great gateway to coding

Learning to code isn’t hard, you just need to stick with it a bit. That’s why the most important thing is starting with a project you’re excited about.

Learn To Code With Soccer will take you from playing around with stats in Excel to scraping websites, building databases and running your own machine learning models.

What You’ll Learn Inside Learn To Code With Soccer

• 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 soccer and designed so you can learn how to apply them to your own questions and do your own analysis.

Sale Page: https://codesoccer.com/