Industry-Relevant Skills
Learn MySQL, PostgreSQL, schemas, ER models, CRUD operations, joins, grouping & window functions.
Real Projects
Build full database systems: eCommerce DB, Banking DB, School Management DB & Analytics DB.
High-Demand Career
SQL is required in Backend, Analytics, Data Science, BI, Python development, and QA roles.
⭐ Core SQL Roadmap
A complete step-by-step SQL learning path.
1. Database & RDBMS Basics
What is a database, tables, rows, columns, primary keys, foreign keys, constraints.
2. SQL Fundamentals
Data Types, DDL, DML, CRUD operations, WHERE, ORDER BY, LIMIT.
3. Joins & Relationships
INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, SELF JOIN, foreign key relations.
4. Grouping & Aggregation
GROUP BY, HAVING, COUNT, SUM, AVG, MIN, MAX — business analytics with SQL.
5. Advanced Querying
Subqueries, EXISTS, IN, ANY, ALL, CASE expressions.
6. Views & Stored Programs
Create & manage Views, Stored Procedures, Functions, Triggers, Events.
7. Indexing & Performance
B-Tree indexes, covering indexes, EXPLAIN, query optimization techniques.
8. Database Design
ER Models, Normalization (1NF–3NF), schema design, relationships, best practices.
9. Transactions & ACID
Transaction control, COMMIT, ROLLBACK, isolation levels, concurrency control.
10. MySQL + Python Integration
Connector, CRUD automation, parameterized queries, real CRUD apps.
11. Admin & Tools
phpMyAdmin, MySQL Workbench, pgAdmin, backups, users & permissions.