📊 SQL Learning & Reference
📌 Overview
This section contains various SQL queries and best practices extracted from personal learning, projects, and database operations.
📂 SQL Topics Covered
📘 The Basics
- Simple queries, filtering, sorting, and conditional logic.
- Querying missing values and handling data issues.
📘 Column Operations
- Aggregations (
SUM, AVG, COUNT).
- Grouping & filtering with
HAVING.
- SQL functions for formatting and conversions.
📘 Advanced Queries
- Using Common Table Expressions (CTEs).
- Joins and views for analyzing transactions and employee data.
- Revenue analysis by different categories.
🚀 Next Steps
- Convert these SQL examples into interactive Jupyter Notebooks.
- Apply these queries to real-world datasets.
- Expand into PostgreSQL & BigQuery optimizations.
📬 Author: Bader Abdulrahim
📌 More Projects: Portfolio Main Page