Learn SQL Fast in Under 3 Hours — For All Levels, From Beginner to Experienced

What you'll learn:

Core Database Concepts: Master the essentials of relational databases and gain hands-on experience with PostgreSQL to manage and organize data efficiently.
Managing Data with SQL: Learn how to use INSERT, UPDATE, and DELETE commands to manage data.
Table Management: Learn to create, modify, and drop tables, define primary/foreign keys, use SERIAL for auto-increment, and choose the right data types.
Data Integrity & Constraints: Learn how to enforce data integrity using constraints.
SQL Queries for Data Retrieval: Write SQL queries using SELECT, filter results with WHERE, and organize data using ORDER BY for insightful analysis.
SQL Functions & Operators: Unlock powerful SQL functions to manipulate text, dates, and use logical operators and CASE for advanced querying.
Joining Tables: Learn how to use SQL JOINs (INNER, LEFT, RIGHT, FULL) to combine data from multiple tables and understand primary and foreign keys.
Data Aggregation & Analysis: Use SUM, AVG, and COUNT to analyze data, then filter and group with GROUP BY and HAVING for deeper insights.
Advanced SQL Techniques: Dive into advanced SQL techniques like subqueries, CTEs, and self joins to solve complex data challenges.

Course Updates:

2026-02 More practice exercises were added to the course.

2025-07 More practice exercises were added to the course.

Ready to learn SQL step-by-step and fast?

Ideal for beginners or anyone looking to strengthen their practical SQL and PostgreSQL skills.

By the end of this course, you will:

Set up and use PostgreSQL for practical data storage, database management, and efficient querying
Understand relational databases, database structure.
Start with basic SQL SELECT queries and progress to advanced SQL techniques for real-world tasks
Create and manage database tables using INSERT, UPDATE, and DELETE commands to manipulate data
Learn the theory behind Primary Keys (PK) and Foreign Keys (FK) — and how to use them to maintain relationships between tables in a relational database
Use essential SQL functions to manipulate strings, dates, and numeric data for better data processing
Apply logical operators and CASE statements to build dynamic and conditional SQL queries
Combine multiple tables using different types of JOINs — including INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN — for comprehensive data retrieval
Aggregate and summarize data using functions like SUM, AVG, COUNT, along with GROUP BY and HAVING clauses for advanced data aggregation
Learn more about complex problems using subqueries, Common Table Expressions (CTEs), and self joins for sophisticated SQL reporting
Build a strong foundation for success in all data-driven roles, including data analysis, business intelligence (BI), and data engineering