📚 SQL Learning Repository

Welcome to my structured SQL learning journey! This repository is divided into Beginner, Intermediate, and Advanced levels, followed by Project-based applications. Each topic includes hands-on SQL scripts, examples, and reference notes to deepen your understanding.

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📖 Table of Contents

🟢 Beginner Level

No.	Topic	File/Folder
1	Introduction to SQL	beginner/01_intro_to_sql.sql
2	Setup Your Environment	beginner/02_setup_environment.md
3	Query Data (SELECT)	beginner/03_select_queries.sql
4	DDL Commands	beginner/04_ddl_commands.sql
5	DML Commands	beginner/05_dml_commands.sql

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🟡 Intermediate Level

No.	Topic	File/Folder
1	Filtering Data	intermediate/01_filtering_data.sql
2	SQL Joins (Basics)	intermediate/02_joins_basics.sql
3	SQL Joins (Advanced)	intermediate/03_joins_advanced.sql
4	Set Operators	intermediate/04_set_operators.sql
5	SQL Functions	intermediate/05_sql_functions/
6	CASE Statement	intermediate/06_case_statement.sql
7	Aggregate Functions	intermediate/07_aggregate_functions.sql
8	Window Functions	intermediate/08_window_functions/

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🔴 Advanced Level

No.	Topic	File/Folder
1	Advanced SQL Techniques	advanced/01_advanced_techniques.sql
2	Subqueries	advanced/02_subqueries.sql
3	Common Table Expressions (CTE)	advanced/03_cte.sql
4	Views	advanced/04_views.sql
5	CTAS and Temp Tables	advanced/05_ctas_temp_tables.sql
6	Compare Techniques	advanced/06_compare_advanced_techniques.md
7	Stored Procedures	advanced/07_stored_procedures.sql
8	Triggers	advanced/08_triggers.sql
9	Indexes	advanced/09_indexes.sql
10	Execution Plan	advanced/10_execution_plan.md
11	Partitions	advanced/11_partitions.sql
12	30x Performance Tips	advanced/12_performance_tips.md
13	AI and SQL	advanced/13_ai_and_sql.md

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🧪 Projects

No.	Project Title	File/Folder
1	SQL Data Warehouse	projects/01_sql_data_warehouse/
2	Exploratory Data Analysis (EDA) Project	projects/02_eda_project.sql
3	Advanced Data Analytics Project	projects/03_advanced_analytics_project.sql

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🚀 How to Use

1. Clone this repository.
2. Navigate to any level of interest.
3. Open .sql files with any SQL client or code editor like VS Code.
4. Follow along with comments and queries.
5. Practice, modify, and experiment!

🛠 Technologies Used

• SQL (PostgreSQL / MySQL syntax)
• VS Code or DB tools like DBeaver
• Optional: Docker setup for local SQL testing

📌 About Me

I’m currently mastering SQL as part of my journey to become a Data Engineer / AI Engineer / ML Engineer / Data Scientist. This repo documents my learning path.

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Feel free to star ⭐ this repo if you find it helpful!