Introduction to SQL

Welcome to the Introduction to SQL repository! This repository contains a series of SQL scripts designed to help you learn and practice fundamental SQL concepts and operations.

Table of Contents

• Overview
• Files
• Getting Started

Overview

This repository is structured to guide you through the basics of SQL, including creating databases and tables, performing various queries, using joins, and more. Each file focuses on a specific aspect of SQL to provide a comprehensive learning experience.

Files

1. creating_database_and_tables.sql

   • Learn how to create databases and tables.

2. aggregation.sql

   • Understand how to perform aggregation operations like SUM, AVG, COUNT, etc.

3. filtering.sql

   • Practice filtering data using the WHERE clause.

4. queries.sql

   • Get hands-on experience with basic SQL queries.

5. nesting.sql

   • Explore nested queries and subqueries.

6. joins.sql

   • Learn about different types of joins and how to use them.

7. insert.sql

   • Understand how to insert data into tables.

8. select.sql

   • Master the SELECT statement and its various options.

9. revision.sql

   • Review and revise all the concepts covered.

Getting Started

1. Clone the repository:

   git clone https://github.com/yourusername/introduction-to-sql.git

2. Navigate to the repository directory:

   cd introduction-to-sql

3. Load each SQL script in your SQL environment of choice (e.g., MySQL, PostgreSQL, SQLite).

4. Follow the instructions within each script to understand and execute the SQL commands.

Contributing

Contributions are welcome! If you have any improvements, suggestions, or additional examples, feel free to create a pull request or open an issue.

- Practice filtering data using the `WHERE` clause.

4. queries.sql

   • Get hands-on experience with basic SQL queries.

5. nesting.sql

   • Explore nested queries and subqueries.

6. joins.sql

   • Learn about different types of joins and how to use them.

7. insert.sql

   • Understand how to insert data into tables.

8. select.sql

   • Master the SELECT statement and