📊 SQL Data Analysis Projects

This repository contains data analysis projects using SQL integrated with Python. The focus is on querying, transforming, and analyzing structured datasets to generate insights.

🚀 Projects

1. Chicago Socioeconomic Data Analysis

• Queried socioeconomic dataset using SQL (SQLite)
• Integrated SQL queries within Python notebooks
• Extracted and analyzed key indicators across Chicago communities
• Performed data filtering, aggregation, and joins to derive insights

🛠️ Tools Used

• SQL (SQLite)
• Python
• Pandas
• Jupyter Notebook

🧠 Key Skills Demonstrated

• SQL querying (SELECT, JOIN, GROUP BY, filtering)
• Data extraction and transformation
• Database interaction using Python
• Data analysis and interpretation

🎯 Purpose

These projects demonstrate the ability to work with relational data, write efficient SQL queries, and integrate SQL with Python for data analysis.