By Sopuruchi Maduka - Data Analyst | Content Creator | B.Eng. Electronic & Computer Engineering 

Imagine walking into a library with millions of books, and all the shelves are in chaos. No labels. No order. Just endless data piled everywhere, and you're told to find an exact information from those millions of books in a space of 2 seconds.

This sounds impossible, doesn't it? Yes, it is impossible to perform the task manually in 2 seconds. That’s what working without SQL feels like in today’s data-driven world. But with Structured Query Language (SQL), it is possible.

If you’re  to become a Data Analyst, learning SQL is compulsory. But before you delve deep into SQL, you must know the basic commands for defining and manipulating data. These basic commands are Data Definition Language (DDL) and Data Manipulation Language (DML).

Listen to this AMAZING Song and Get Inspired!

Why SQL Is the Lifeblood of Data Analytics

SQL isn’t just another technical skill - it’s the foundation of working with data. Every database, whether in finance, healthcare, marketing, or e-commerce, speaks SQL.

For aspiring data analysts, this means:
1. More job opportunities - SQL is one of the most requested skills in analytics job postings.
2. Faster insights - You can pull exactly what you need without relying on others.
3. Career security - SQL has been relevant for decades and will be for decades more.

No matter how advanced data tools get, the ability to directly query a database will always make you stand out.

These are the Core Commands in SQL: DDL and DML

SQL is vast, but two categories are at its heart:

1. Data Definition Language (DDL) – The architect of your database. It creates, alters, and organizes tables. Examples:

  • CREATE – Build new tables

  • ALTER – Modify structure

  • DROP – Delete tables

2. Data Manipulation Language (DML) – The decorator and organizer. It handles the actual data inside. Examples:

  • SELECT – Retrieve data

  • INSERT – Add data

  • UPDATE – Change data

  • DELETE – Remove data

Mastering both means you can design a database and get exactly the answers you need from it.


Why Many Beginners Struggle - And How to Avoid It

Most tutorials make SQL harder than it is. They dump commands, syntax, and theory without showing the big picture. This leads to memorization without understanding.

That’s why I created my Simplified DDL & DML Handout - a no-jargon, beginner-friendly guide with real examples you can use right away.

It’s the shortcut I wish I had when I started learning SQL.

A frustrated beginner drowning in random code snippets, transformed into a confident Data Analyst holding a glowing simplified SQL handout.

Your Next Step

If you’re serious about becoming a skilled data analyst, don’t just “know about” SQL - master it. Start with the basics, understand DDL & DML commands, and build from there.

📥 Download My Simplified DDL & DML Commands Here - it’s free, clear, and designed to give you results fast: 

Your future in data analytics could start with this one free download.

Check out Mr Sopuruchi on: 
✉️ Email: sopmaduk@gmail.com
📱Phone: +2349164837454 

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