Master SQL: A Comprehensive Roadmap

Master the language of databases — Learn how to store, query, and manage data efficiently using SQL.

Basic overview

What is SQL?

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Why Learn SQL?

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Estimated time commitment for the roadmap.

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Phases of the SQL Roadmap

Phase 1: Introduction to Databases & SQL

What is a Database?

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Types of Databases (Relational vs Non-Relational)

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Introduction to RDBMS (MySQL, PostgreSQL, SQL Server)

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What is SQL and Why it is Important?

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Installing a Local SQL Environment (XAMPP, MySQL Workbench, PostgreSQL)

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Phase 2: Basic SQL Commands

Creating and Dropping Databases

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Creating Tables (CREATE TABLE)

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Data Types in SQL

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Inserting Data (INSERT INTO)

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Retrieving Data (SELECT)

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Updating Data (UPDATE)

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Deleting Data (DELETE)

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Phase 3: Filtering & Sorting Data

WHERE Clause

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AND, OR, NOT Operators

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IN, BETWEEN, LIKE Operators

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ORDER BY

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LIMIT / TOP

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Phase 4: Working with Multiple Tables

Understanding Primary & Foreign Keys

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JOINs: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN

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Aliases (AS)

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Subqueries

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Phase 5: Aggregate Functions & Grouping

COUNT(), SUM(), AVG(), MIN(), MAX()

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GROUP BY

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HAVING Clause

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Phase 6: Data Constraints and Normalization

NOT NULL, UNIQUE, DEFAULT, CHECK

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PRIMARY KEY, FOREIGN KEY

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Data Integrity

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Database Normalization (1NF, 2NF, 3NF)

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Phase 7: Advanced SQL

Views (CREATE VIEW)

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Stored Procedures

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Triggers

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Transactions (BEGIN, COMMIT, ROLLBACK)

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Indexing

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Window Functions

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Phase 8: SQL Optimization Techniques

Query Optimization

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Execution Plans

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Using Indexes Properly

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Avoiding Expensive Queries

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Phase 9: Real-World Applications

Building a Student Database

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Sales/Inventory Management System

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Blogging System Database Design

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Reporting with SQL

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Phase 10: SQL for Different Use Cases

SQL for Web Developers

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SQL for Data Analysts

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SQL for Backend Developers

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SQL with Python / PHP / Node.js

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