Master Python and Data Analysis

25/04/2026

🚨 Introducing The Data Analyst Bootcamp Bundle (SQL + Python) 100 Hands-On Data Analysis Challenges

For a data engineer (and analysts) SQL and Python should be second nature. Practice until you can solve medium problems comfortably.

The Data Analyst Bootcamp Bundle (SQL + Python) 100 Hands-On Data Analysis Challenges

Included in this bundle
✔️ SQL Essentials for Data Analysis: A 50-Day Hands-on Challenge Book (Go From Beginner to Pro)

✔️ 50 Days of Data Analysis with Python: The Ultimate Challenge Book for Beginners

Get bundle here:

The Data Analyst Bootcamp Bundle (SQL + Python) 100 Hands-On Data Analysis Challenges (2 Books)Book 1: Master Data Analysis with Python: The Ultimate 50-Day Challenge Book

20/04/2026

🔺 BIG Python Sin: Using a mutable default argument

Don't use a mutable object as a default argument. Default arguments in Python are evaluated once, at function definition time, not each time the function is called.

If you have a default argument like: items=[], it will be shared across all calls, and you will get an accumulating state you didn’t ask for.

# Mutable default argument
def add_item(item, my_list=[]):
my_list.append(item)
return my_list

Output
print(add_item(1)) # [1]
print(add_item(2)) # [1, 2]
print(add_item(3)) # [1, 2, 3]

👑 The best way is to have an immutable object as a default argument. That way, each call will get a fresh list as in the example below.

def add_item(item: int, my_list: Optional[List[int]] = None) -> List[int]:
if my_list is None:
my_list = []
my_list.append(item)
return my_list

Default arguments are evaluated at function definition time, not call time. When in doubt, use None as the default and create the mutable object inside the function!

16/04/2026

Struggling to understand Python classes?

Concepts like __init__, self, and inheritance can feel confusing when they’re taught in isolation.

I put together a 2+ hour structured course that walks through everything step by step, from core fundamentals to real-world application.

Clear explanations. Practical examples. No unnecessary complexity.

👉 Watch the full course on YouTube:

https://youtu.be/LAiNEkggiU4?si=0dsqAy8lPYTCTmjw

16/04/2026

Struggling to understand Python classes?

Concepts like __init__, self, and inheritance can feel confusing when they’re taught in isolation.

I put together a 2+ hour structured course that walks through everything step by step, from core fundamentals to real-world application.

Clear explanations. Practical examples. No unnecessary complexity.

👉 Watch the full course on YouTube:

Struggling to understand Python classes, __init__, self, or object-oriented programming?In this in-depth course, I break down Python classes step by step so ...

14/04/2026

Introduction to full Python course on classes

06/04/2026

50-Day SQL Challenge – $4.99 Limited Promo

Master SQL the fast, practical way: 50 daily challenges on real datasets. From zero to writing complex queries like a pro—no endless theory. SQL syntax is easy. Real analysis is hard. 😩 Fix it in 50 days.

Special 5-day promotion: Just $4.99

If you’re wondering whether you should learn , the answer is simple:

27/02/2026

Want to land a data analyst job in 2026?

Master SQL the fast, practical way: 50 daily challenges on real datasets. From zero to writing complex queries like a pro—no endless theory. SQL syntax is easy. Real analysis is hard. 😩 Fix it in 50 days.

GET 25% off when you click this link -> https://benjaminb.gumroad.com/l/hkkmf

09/02/2026

🔺 BAD BAD HABIT

Why would anyone want to group by column position numbers?

Tell me WHY WHY WHY WHY? 😬

02/02/2026

Struggling to learn SQL? I wrote this book for you.

For the past year, I’ve poured everything I know into creating a resource that helps beginners finally understand SQL—without confusing setups, logins, or scattered tutorials.

Introducing SQL Essentials for Data Analysis: A 50-Day Hands-on Challenge Book
➡️ Learn SQL from scratch
➡️ Practice with real-world datasets
➡️ Build daily mini-projects
➡️ Run everything in SQLite + Jupyter or Google Colab
➡️ No signup, no complex installations

Why this book?
Because SQL is still the backbone of data work in 2025. BigQuery, Snowflake, Databricks, Pandas, Power BI…
They all rely on SQL.
And I know how overwhelming it can feel to start.
That’s why I created a step-by-step, 50-day roadmap that teaches you through doing—not just theory.

Every day, you’ll tackle a challenge that mirrors real-life data analyst tasks: cleaning, transforming, joining, ranking, validating, and analyzing messy datasets.
Whether you’re trying to land your first data job or level up your skills, this book gives you the structure and confidence to get there.

Learn SQL the Easy Way—Without the HeadachesIf you’re wondering whether you should learn SQL, the answer is simple: absolutely. SQL (Structured Query Language) is the language of data, and data powers every modern business. Whether you’re a data analyst, data scientist, business analyst, softw...