If you’ve never written a SQL query before, this is the place to start. We break down the core concepts that every data analyst or developer needs to know.
SQL (Structured Query Language) is the universal language for interacting with relational databases. Whether you’re analyzing marketing performance, managing user data, or debugging backend systems—SQL is the tool of choice for querying, filtering, joining, and aggregating data.
At its core, SQL lets you ask questions about data stored in tables. A table is like a spreadsheet: rows are individual records, and columns are fields like name
, email
, or signup_date
.
SELECT * FROM users;
SELECT * FROM users WHERE country = 'USA';
SELECT * FROM users ORDER BY signup_date DESC;
SELECT * FROM users LIMIT 10;
Often, data is spread across multiple tables. JOINS let you combine data based on shared fields.
Example:
pgsql
CopyEdit
SELECT users.name, orders.total
FROM users
INNER JOIN orders ON users.id = orders.user_id;
=
instead of IN
for multiple valuesPractice writing queries using real data. Learn to GROUP, COUNT, and work with functions like AVG()
and MAX()
. As you get more confident, explore subqueries, views, and indexes.