Skip to content

Repository files navigation

Amazon Sales Analytics

An end-to-end Data Analytics project built using Python, SQL, and Power BI to analyze Amazon sales data and generate business insights.


Project Overview

This project demonstrates the complete Data Analytics workflow:

  • Data Cleaning using Python
  • Data Analysis using SQL
  • Dashboard Development using Power BI
  • Data Visualization
  • Business Insights

Tools & Technologies

  • Python
  • Pandas
  • NumPy
  • SQL (MySQL)
  • Power BI
  • Git
  • GitHub

Project Structure

Amazon-Sales-Analytics/

├── data/

├── output/

├── sql/

├── powerbi/

├── reports/

├── images/

├── cleaning.py

├── analysis.py

├── README.md

└── requirements.txt


Key Performance Indicators

  • Total Orders: 102
  • Total Revenue: ₹63,770.79
  • Average Order Value: ₹625.20
  • Categories: 6
  • States Covered: 1

Analysis Performed

  • Revenue Analysis
  • Category Analysis
  • Order Status Analysis
  • State-wise Sales
  • City-wise Sales
  • Fulfilment Performance
  • Monthly Revenue Trends

Dashboard Preview

Sales Dashboard

Dashboard

Revenue Dashboard

Dashboard

Category Dashboard

Dashboard


Author

Yashwanth Kumar M

About

End-to-End Amazon Sales Analytics Project using Python, SQL and Power BI

Topics

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages