Data Analysis on E-Commerce Shopping Website (Project with Code and Dataset)

📊 Data Analysis on E-Commerce Shopping Website
📍 Project with Code + Dataset Included

In this hands-on project tutorial, you’ll learn how to perform data analysis on a real e-commerce shopping website dataset using Python. This video walks through the entire workflow — from loading and cleaning the dataset to exploring and visualizing key business insights. You’ll get access to the code (Python, Pandas, Matplotlib/Seaborn) and the practical dataset, so you can follow along and build your own analytics project.

What you’ll do in this project:
✔ Import the e-commerce dataset and inspect its structure using Pandas
✔ Clean and preprocess data (handling missing values, formatting dates)
✔ Explore sales patterns, customer behavior, and product performance
✔ Use filtering and aggregation to answer real business questions
✔ Visualize trends with charts and graphs using Matplotlib/Seaborn
✔ Draw actionable insights for decision-making

Whether you’re preparing for a data analyst role or sharpening your Python analytics skills, this project gives you a complete end-to-end example of how to analyze e-commerce data like a pro.

💡 Tools used:
– Python (Pandas, NumPy)
– Data Visualization (Matplotlib, Seaborn)
– Jupyter Notebook / Google Colab

🎓 Includes: Full annotated code + downloadable dataset

Start analyzing your e-commerce data today and uncover patterns that matter! 🚀