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Module · 7 lessons
Getting Started with SQL
Write your first SQL queries against a real superstore database — select, filter, sort, and format data like a pro.
At a glance
Level
Beginner
Lessons
7 lessons
Time to complete
1–2 weeks
Cost
Free forever · no sign-up
Welcome to Getting Started with SQL — the place where you write your very first lines of database code and walk away able to answer real business questions with data. SQL (Structured Query Language) is the language nearly every company uses to talk to its databases, and it is one of the most valuable, durable skills you can learn as an analyst, engineer, or scientist.
Throughout this module you will act as a data analyst for a fictional superstore. Your job is to turn raw rows of orders, returns, and managers into clear answers for your supervisor. You will start by previewing tables, then learn to pick exactly the columns you need, transform text and numbers with functions, filter rows with precise conditions, sort and trim your results, and finally bucket data with conditional logic — all while writing queries that are easy to read and quick to run.
Every concept is hands-on. You will run real queries against a real database and read the actual output, so by the end you will not just recognize SQL, you will be writing it with confidence. The module closes with a guided project where you analyze a genuine Kickstarter dataset to discover what separates funded campaigns from failed ones.
No prior database experience is required. Start with Lesson 1, where you will meet SQL, explore the superstore schema, and run your first SELECT statement.
Lessons in this module
1
Exploring Databases and Schemas
Meet SQL and the superstore database, run your first SELECT, add comments, and rename columns with aliases.
2
Columns, Data Types, and Functions
Inspect data types and metadata, and transform text and numbers with functions like ROUND(), UPPER(), and LOWER().
3
Filtering Rows with Numbers
Narrow results with comparison operators, handle NULL values, and combine conditions using BETWEEN, IN, AND, and OR.
4
Filtering with Text and Categories
Find unique values with DISTINCT and match text patterns using IN, BETWEEN, and LIKE wildcards.
5
Sorting and Limiting Results
Order results ascending or descending, sort by multiple columns, and return just the rows you need with LIMIT.
6
Conditional Logic with CASE and Clean Style
Bucket values with CASE expressions, order by computed expressions, and write readable, performant SQL.
7
Guided Project: Analyzing Kickstarter Campaigns
Query, filter, and sort a real Kickstarter dataset to uncover what separates funded campaigns from failed ones.
Achievement
Complete all 7 lessons to finish the Getting Started with SQL module.