This series is designed for learners, data analysts, and professionals who want to go beyond the basics and actually apply SQL in real- world scenarios.

Each part covers a focused topic, provided with code examples, best practices, and real-life use cases.

✅ These parts are already published:

  1. Part 1: SELECT and WHERE clauses — The True Starting Point of Data Analysis
  2. Part 1B: From Chaos to Clean — Handling Nasty Data in SQL using SELECT, and WHERE Clauses.
  3. Part 2: ORDER BY, DISTINCT, and LIMIT — Building Meaningful Data Summaries
  4. Part 2B: What Are Tiebreakers in SQL ORDER BY Clause? — Understanding how to use ORDER BY clause in SQL effectively.
  5. Part 3: Mastering GROUP BY and HAVING in SQL — The Analyst's Power Tools for Data Summrization.
  6. Part 3B: MIN() and MAX() use also introduced with GROUP BY and Having — SQL for Data Analysis
  7. Part 4: Mastering CASE WHEN with conditional aggregations in SQL — Only one read that you would ever need on this topic!

If you're not a Medium member — click here to read this article.

📚 Other Important Parts to Read for SQL Data Analysis Journey.

Understanding SQL Syntactical vs Logical Query Processing Order

This is important to understand for writing clean, functional, and efficient SQL queries.

plainenglish.io

Solving The Real-World Master Table Problem Using SQL — Part-1

A common master data issue encountered by many in day-to-day work!

plainenglish.io

Solving The Real-World Master Table Problem Using SQL — Part-2

Removing Unnecessary Ranking Column and Handling Duplicates in Master Tables — Practical Solutions.

plainenglish.io

SQL Data Analysis — The “Temporary” Family in SQL

Effective to hold intermediary results for faster processing and complex data transformations!

plainenglish.io

SQL Data Analysis — A Case Study for Data Analysts and Data Scientists

Systamatically identifying and handling changes in your real-world data.

plainenglish.io

SQL Data Analysis — The Use of The COUNT Family

This is one of the most misunderstood topics in SQL. At first glance, the COUNT() function seems simple — after all, it…

medium.com

Did The Word “Schema” Ever Confuse You? — If Yes, Let’s Understand This Today.

If you’re not a Medium member, you can still read this article for free using this

medium.com

The Illusion of NULL — Why Missing != NULL in Real Wolrd Data, Part-1

NULL is not the same as ‘null’ — one is a SQL keyword (missing/unknown), while the other is a string.

medium.com

Handling NULLs in SQL for Data Analysis — Part-2

Let’s understand, detect, and fix issues caused by NULLs.

medium.com

Types of Databases Explained with Examples and Use Cases.

If you’re not a Medium member — Click here to read this article.

medium.com

What are Databses and Why They Matter in the World of Data.

If you’re not a Medium member — Click here to read this article.

medium.com

📢 Stay Updated

👉 I'll keep updating this list with links as new parts in this series are published. Feel free to bookmark this post or follow me for updates.

Thanks for Reading!

If you like my work — you can always buy me a coffee😊- BuymeaCoffee

Follow me for more on SQL, Python, R, Power BI , ML,DL, & Data Science!

A message from our Founder

Hey, Sunil here. I wanted to take a moment to thank you for reading until the end and for being a part of this community.

Did you know that our team run these publications as a volunteer effort to over 200k supporters? We do not get paid by Medium!

If you want to show some love, please take a moment to follow me on LinkedIn, TikTok and Instagram. And before you go, don't forget to clap and follow the writer️!