This repository presents an end-to-end data analytics project on over 1 million e-commerce transactions. It utilizes Python, SQL, Power BI, and Excel for data cleaning, exploratory analysis, SQL querying, and creating interactive dashboards.
From the README
📊 Global E-Commerce Sales Analytics This project demonstrates a complete end-to-end data analytics workflow on over 1 million e-commerce transactions, using Python, PostgreSQL, and Power BI to transform raw data into actionable business insights through data cleaning, exploratory analysis, SQL querying, and interactive dashboards. --- 📌 Project Overview This project analyzes over 1 million e-commerce transactions to uncover valuable insights into sales performance, customer behavior, and product trends. The goal is to transform raw transactional data into actionable business insights through data cleaning, exploratory analysis, SQL querying, and interactive dashboards. --- 🎯...
Skills
- Jupyter Notebook
- business-intelligence
- customer-analysis
- dashboard
- data-analysis
- data-analytics
- data-visualization
- dax
- ecommerce
- eda
- matplotlib
