Python Data Analytics Journey

This repository documents my Python learning journey for data analytics.

Topics Covered

• Python variables and data types
• Conditional statements
• For loops
• Basic business calculations
• pandas DataFrame creation
• Revenue calculation
• Filtering data
• Summary statistics
• Data inspection with head(), shape, info(), and describe()

Repository Structure

• notebooks/ - Jupyter notebooks and learning exercises
• exercises/ - Python practice files

Current Focus

Building practical Python and pandas skills for Data Analyst, Business Intelligence Analyst, and Reporting Analyst roles.

Tools

• Python
• pandas
• Jupyter Notebook
• VS Code
• Git
• GitHub