I Took DataCamp’s "Introduction to SQL" So You Don’t Have To — Here’s What You’ll Learn

Is this beginner SQL course worth your time? I completed it, took notes, and practiced all exercises so you don’t have to. Here’s your shortcut to everything it covers (plus my honest thoughts).

👋 Introduction

I recently completed the "Introduction to SQL" course on DataCamp, a 2-hour, beginner-friendly course that walks you through the essentials of SQL using a library-themed database. If you're just starting out in data analytics or SQL, this post will give you a complete overview of the course content, my personal takeaways, and whether it's worth your time.

🧭 Course Overview

Level: Basic Skill Level
Time: ~2 hours
Modules: 2
Total: 7 Videos, 24 Exercises
Platform: DataCamp

📚 What You'll Learn (Simplified Summary)

🔹 Module 1: Relational Databases

This module focuses on the structure of relational databases and the logic behind them.

What is a Database?
Think of it like a super-powered spreadsheet. You store data in tables, each table has rows (records), and columns (fields).
Relational Structure
Multiple tables are connected via keys (e.g., card_num connects checkouts and patrons).
Data Types
You’ll understand basic SQL types like VARCHAR (text), INT (whole numbers), and NUMERIC (decimals).
Schemas
A schema is like a blueprint of a database — showing what tables exist, how they relate, and what data types each column contains.

🔹 Module 2: Querying a Database

This is where you write your first SQL queries to pull information from the tables.

SELECT and FROM
Basic query structure: SELECT column_name FROM table_name;
Selecting All Columns
Use SELECT * to fetch every column in a table (great for testing).
Aliasing with AS
Rename columns in your result using : SELECT author AS unique_author
DISTINCT Keyword
Use to return only unique values : SELECT DISTINCT genre FROM books
Creating Views
Save queries as reusable virtual tables using : CREATE VIEW view_name
SQL Flavors
Different versions like PostgreSQL and SQL Server have small syntax differences (e.g., LIMIT vs TOP) — but the fundamentals are universal.

✅ What I Liked

Beginner-Friendly Language – No jargon, no pressure. Every topic builds slowly.
Hands-On Exercises – You don’t just watch — you do.
Real-Life Example – The library database makes it easier to connect concepts with real-world use.
Clean UI & Progress Tracking – Great for short, focused learning sessions.

✍️ My Takeaways

SQL isn’t scary! Writing queries is intuitive once you know what each keyword does.
Understanding the why behind database structure helps a lot.
Simple things like using AS to rename columns can make your results much easier to read.
DISTINCT is useful in real-world reporting (think: unique users, customers, etc.)
Learning about views early on was valuable—you'll likely use them in real jobs.

📊 Exercises Highlight

Basic SELECT queries
Selecting multiple & all fields
Using DISTINCT on single/multiple fields
Aliasing columns for clarity
Creating views for reuse
Limiting results (LIMIT for PostgreSQL, TOP for SQL Server)

🧠 Final Verdict

If you're a complete beginner, this course is a solid entry point into SQL. It's fast, easy to follow, and gives you the confidence to write your first queries.

But don’t stop here — this is just the warm-up. For real-world skills, follow it up with intermediate courses covering filtering, aggregations, joins, and project-based learning.

Rating: ⭐️⭐️⭐️⭐️ (4/5)

🧩 TL;DR

If you're new to SQL, this course is a great warm-up. Clear videos, fun exercises, and solid beginner skills. Just don't expect it to take you beyond the basics.