Best SQL Courses 2026
Best SQL Courses 2026
SQL is the universal language of data — used by data analysts, data scientists, backend developers, product managers, and business analysts. In 2026, SQL proficiency is as expected as Excel in any data-adjacent role.
Here are the best SQL courses in 2026.
Quick Picks
| Goal | Best Course |
|---|---|
| Best overall | The Complete SQL Bootcamp (Udemy, Jose Portilla) |
| Best free option | Mode Analytics SQL Tutorial / SQLZoo |
| Best for data analysis | SQL for Data Analysis (Mode) |
| Best for interviews | LeetCode SQL questions + NeetCode |
| Best with PostgreSQL | PostgreSQL: Up and Running (O'Reilly) |
Which SQL Should You Learn?
SQL is standardized, but each database has dialect differences:
| Database | Common Use Case |
|---|---|
| PostgreSQL | Open source, production web apps, analytics |
| MySQL | Web applications, WordPress, LAMP stack |
| SQLite | Mobile apps, local development, prototyping |
| BigQuery | Google Cloud analytics, data warehousing |
| Snowflake | Cloud data warehouse, analytics |
| SQL Server | Microsoft environments, enterprise |
Recommendation: Learn standard SQL first (SELECT, JOINs, aggregations). The 90% of SQL you write daily is identical across all databases. Learn database-specific syntax when you need it.
Best SQL Courses
1. The Complete SQL Bootcamp — Jose Portilla (Udemy)
Rating: 4.7/5 from 180,000+ reviews Duration: ~9 hours Level: Beginner Cost: ~$15
Jose Portilla's SQL Bootcamp is the most widely recommended SQL intro on Udemy:
- SELECT, FROM, WHERE, ORDER BY
- GROUP BY and aggregate functions (COUNT, SUM, AVG, MIN, MAX)
- JOINS (INNER, LEFT, RIGHT, FULL OUTER)
- Subqueries and CTEs
- Data types and constraints
- Creating and modifying tables (DDL)
- PostgreSQL throughout
Best for: Complete beginners who want a structured, practical SQL introduction.
2. Mode Analytics SQL Tutorial (Free)
Website: mode.com/sql-tutorial Level: Beginner to Intermediate Cost: Free
Mode's SQL tutorial is designed specifically for data analysts — the SELECT-heavy analytical SQL that business analysts actually use daily. It runs in Mode's browser-based environment against real datasets.
What it covers:
- Basic SELECT and WHERE
- Aggregations and GROUP BY
- JOINs
- Subqueries
- Window functions (the most important advanced topic)
- Performance tuning basics
Best for: Analysts who want practical SQL for data work, not database administration.
3. SQLZoo (Free, Interactive)
Website: sqlzoo.net Level: Beginner to Intermediate Cost: Free
SQLZoo is one of the oldest and most used SQL learning platforms — interactive browser-based SQL exercises against real databases. Good for practice alongside any course.
Best for: Supplementary practice — use alongside a course to reinforce concepts.
4. SQL for Data Analysis — Udacity (Free)
Udacity offers a free SQL course specifically for data analysis covering:
- Basic SELECT, WHERE, JOIN
- Aggregations and subqueries
- Advanced joins and window functions
- Performance optimization
Best for: Learners who prefer a structured free course with data analysis focus.
5. Advanced SQL Topics: Window Functions
Window functions are the most important advanced SQL concept for analysts — they allow calculations across rows without collapsing results like GROUP BY does.
Core window functions:
-- Row numbers within groups
ROW_NUMBER() OVER (PARTITION BY dept ORDER BY salary DESC)
-- Running totals
SUM(sales) OVER (PARTITION BY region ORDER BY date)
-- Ranking with ties
RANK() OVER (ORDER BY score DESC)
-- Lead/lag (access adjacent rows)
LAG(sales, 1) OVER (ORDER BY date)
LEAD(sales, 1) OVER (ORDER BY date)
-- Moving averages
AVG(sales) OVER (ORDER BY date ROWS BETWEEN 6 PRECEDING AND CURRENT ROW)
Best free resource: Mode Analytics' window function tutorial. Once you understand window functions, 80% of complex analytical SQL problems become straightforward.
SQL for Data Analysis vs. SQL for Development
Analytical SQL (data analysts, BI engineers, data scientists):
- Heavy SELECT — reading data
- Complex aggregations, window functions, CTEs
- Query performance on large datasets
- BigQuery, Snowflake, Redshift syntax
Development SQL (backend developers, full-stack):
- DDL: CREATE TABLE, ALTER TABLE, indexes
- DML: INSERT, UPDATE, DELETE
- Transactions and ACID properties
- Database design, normalization
- Connection pooling, query optimization
Both tracks need JOINs and basic aggregations. Analysts go deeper on querying; developers go deeper on schema design.
SQL Interview Prep
SQL questions appear in almost every data analyst and data scientist interview. Common patterns:
Aggregations:
SELECT department, AVG(salary), COUNT(*)
FROM employees
GROUP BY department
HAVING AVG(salary) > 70000
Multiple joins:
SELECT u.name, COUNT(o.id) AS orders
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
GROUP BY u.id, u.name
Self-joins (common interview pattern):
SELECT e.name, m.name AS manager
FROM employees e
JOIN employees m ON e.manager_id = m.id
Window function (common advanced question):
SELECT name, salary,
RANK() OVER (PARTITION BY department ORDER BY salary DESC) AS rank_in_dept
FROM employees
Best practice: LeetCode's SQL problems (free) — sort by difficulty and work through the easy problems first. HackerRank's SQL domain provides additional practice.
Learning Path: SQL for Data Analysts
Week 1–2: Jose Portilla's Udemy course (foundation) Week 3: Mode Analytics SQL tutorial (data analysis focus) Week 4: Window functions practice — Mode Analytics + personal exercises Month 2: Practice on real datasets (Kaggle, public company datasets) Month 2+: LeetCode SQL easy → medium problems
Bottom Line
For structured beginners: Jose Portilla's Complete SQL Bootcamp (Udemy) provides the best comprehensive introduction.
For data analysis specifically: Mode Analytics' free tutorial is purpose-built for analytical SQL.
For practice: SQLZoo and LeetCode SQL problems — practice is more important than watching additional videos.
The essential advanced skill: Window functions. Most SQL learners stop at GROUP BY and miss window functions entirely. They're used in virtually every real analytical query.
See our best data science courses guide for SQL in the data science context, or our Google Data Analytics Cert Review for the certificate that includes SQL training.