Nathan Braun – Learn To Code With Soccer

Proof of the course:

Learn to Code with Soccer: Python for Data Science

Okay, here’s a detailed briefing document summarizing the key themes and ideas from the provided source material, “Learn to Code with Soccer – Python for Soccer Data”:

Briefing Document: “Learn to Code with Soccer – Python for Soccer Data”

1. Core Concept: Learning to Code Through Passion

• Theme: The central idea is that learning to code becomes significantly more engaging and effective when applied to a topic one is passionate about, in this case, soccer. This approach contrasts with traditional, abstract coding tutorials that often lead to discouragement.
• Quote: “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.”
• Implication: The book leverages the inherent interest many people have in soccer to motivate them to learn complex coding skills. This “passion-first” approach is presented as a key differentiator from other learning resources.
• Quote: “…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.”

2. Skills Covered: A Practical Data Science Toolkit

• Theme: The book aims to equip readers with a practical toolkit for data analysis, emphasizing hands-on application in the context of soccer data.
• Core Skills:Python Programming: The fundamental language for data manipulation and analysis.
• Pandas: A key Python library for data manipulation and analysis
• Web Scraping & APIs: Methods to acquire data from the internet.
• Databases & SQL: Building and querying databases for organized data storage.
• Machine Learning: Applying machine learning models to analyze soccer data using tools like statsmodels and scikit-learn.
• Data Visualization: Creating plots to explore patterns in data using tools like seaborn.
• Quote: “You’ll learn — step by step and applied to soccer — how to program your own analysis. You’ll also learn how to make plots like these” (referring to an example image of a plot).
• Implication: The book provides a comprehensive introduction to data science skills, not just a theoretical overview, but one that is immediately useful with real data.
• Quote: “…exactly what I needed to finally get past tutorial hell and apply Python to something I love.”

3. Target Audience and Accessibility

• Theme: The book is designed to be accessible to beginners, assuming no prior coding experience while being rigorous enough for experienced learners to pick up new skills.
• Beginner-Friendly: The content starts from the ground up, explaining even simple concepts clearly and using step by step instructions.
• Quote: “No! The book assumes no prior knowledge, and many people have gone through it with zero coding experience and done just fine.”
• Fast Paced: The book is intended to build upon concepts quickly, so some prior coding experience could be helpful.
• Quote: “…it does move fast and build on itself, so if you’re new you might just have to take it slower and make sure you understand each section before continuing”
• Application to Other Domains: Although focused on soccer, the skills learned are transferable to other domains.
• Quote: “Although you’ll learn all these concepts (Python, SQL, data manipulation, visualization, and modeling) via soccer, you’ll 100% be able to apply these concepts to other areas, including your day job.”
• Quote: “I seem to be understanding it better because its about a subject I like.”
• Implication: The book aims to be an entry point for individuals interested in data science, regardless of their background, while ensuring the skills are universally applicable.

4. Strong Positive Reception and Testimonials

• Theme: The book has garnered exceptionally positive feedback, with users highlighting its engaging nature, clear explanations, and effectiveness in teaching complex topics.
• Praise: Testimonials repeatedly describe the book as “amazingly awesome,” “really well done,” and “fantastic” highlighting a significant improvement in learning over other methods.
• Quotes:“The book here was really, really well done…” – Bill Connelly
• “the way the learning is framed here is 10x what you’ll get someplace else.” – u/Nick58
• “…probably the best / most complete Pandas walk through I’ve seen .” – Bill S
• “I’m flying through the book and feel like I’m learning a ton!” – Jason K
• “… 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.” – Ryan P
• “… absolutely superb … definitely understand the acclamation” – Jaeho Y
• “… helped me way more than my grad school class did.” – Glen I
• “… very engaging so far compared to some of the other online resources I’ve tried to pick this up with.” – Tim M
• “I bought LTCWFF and love it!” – Todd B
• Implication: These testimonials suggest the book is not only effective but also enjoyable, which is a rare combination in technical education.
• Key Benefit: The book makes learning fun by framing it around an engaging topic (soccer).

5. Value Proposition and Additional Resources

• Theme: The offering goes beyond just the core book, including supplementary materials and features designed to enhance learning and provide ongoing support.
• Core Book: The core “Learn to Code with Soccer” book is a 300+ page PDF.
• Supplemental Material: Additional benefits like example scripts, datasets, practice problems, and spaced repetition flashcards are provided to assist in active learning.
• Tech Tools Companion Book: This focuses on improving computer productivity by teaching users tools like the terminal, Vim, Git, and Chat GPT. Notably, this book can stand alone, as it provides general skills that are useful even to non-coders.
• Lifetime Updates: Both books include lifetime updates, ensuring that readers have access to the most current and relevant information.
• 30 Day Money Back Guarantee: Shows the author has confidence in the product.
• Implication: The comprehensive package demonstrates the author’s commitment to providing an educational experience that is both effective and accessible.

6. Author’s Background and Approach

• Theme: The author, Nate, is a self-taught programmer and data scientist who developed the book based on his own learning journey.
• Authenticity: By sharing his personal story, he aims to provide a relatable and practical guide, having experienced the challenges of self-teaching firsthand.
• Quote: “In this book, I distill everything I’ve learned to provide a step-by-step guide to doing soccer analytics and get you up and running as quickly as possible.”
• Implication: The author’s background lends credibility to the book, suggesting a practical and effective approach to teaching coding skills.

7. Companion Book

• Theme: The author has a companion book to supplement the coding lessons with key computer tooling skills to help people get the most from their machines.
• Content: The book includes content about the terminal, Vim, backing up and quickly prototyping with Git, setting up a server, and Chat GPT.
• Accessibility: The book is helpful even to non coders
• Quote: “In fact much of the book — which covers building “second brain” notetaking setup and using it with Chat GPT — is useful even to non-coders!”

Summary:

“Learn to Code with Soccer” is more than just a coding book; it’s a structured learning program that leverages passion for soccer to teach crucial data science skills. The positive reception and the comprehensive nature of the materials suggest that this is a promising approach for aspiring data scientists of all experience levels. It’s also clear the companion book on computer tooling adds additional value to the overall offering.

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.

This book will take you from playing around with stats in Excel to scraping websites, building databases and running your own machine learning models.

Sales Page:_https://www.codesoccer.com/