Real Ecommerce Data Analysis in Python 📊 | Business Insights from Orders & Customers

Описание: In this video, we perform end-to-end data analysis on a real ecommerce dataset (Malti-Gauri Ecommerce) to understand how a business actually works behind the scenes.

Dataset link - https://drive.google.com/drive/folder...

Using Python and Pandas, we analyze:

📦 Orders & Returns performance

💰 Total revenue and Average Order Value (AOV)

🛍️ Product & category-wise performance

🌍 City-wise and customer-wise insights

📉 What is working and what needs improvement

This is not a toy dataset — this is how real data analysts explore messy, relational ecommerce data and convert it into clear business insights.

🔍 What You’ll Learn in This Video

How to analyze ecommerce orders & returns data

How to calculate KPIs like AOV, revenue, and customer metrics

How to join multiple tables using Pandas

How to think like a business analyst, not just write code

How data helps ecommerce companies grow and optimize decisions

🎯 Who This Video Is For

✔ Data Analyst / Data Scientist aspirants
✔ Python & Pandas learners
✔ Anyone preparing for data analytics interviews
✔ People who want real-world projects, not dummy examples

🧠 Key Takeaway

Data is not spoon-fed in real life.
You have to ask the right questions, connect the data, and let insights speak.

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