Day 51 Python Pandas Project | Sales Data Analysis with DateTime, Correlation & Customer Insights

Day 51 of Python Pandas Data Analysis Series 🚀

In this video, we will perform advanced Sales Data Analysis using Python Pandas and DateTime functions. You will learn how to analyze customer purchases, sales trends, discounts, and correlation between columns using a real-world dataset.

Topics Covered In This Video 👇

✅ Find all weekend orders
✅ Calculate sales for the first 10 days
✅ Find top 3 customers by purchase amount
✅ Identify the most sold product
✅ Find city with highest sales
✅ Find product with highest discount
✅ Calculate correlation between quantity and price
✅ Convert date column into DateTime format
✅ Real-world Sales Data Analysis Project
✅ Python Pandas Practical Examples

This project is perfect for beginners and intermediate students who want to improve their Python, Pandas, and Data Analytics skills with real datasets and industry-level practice.

🔥 Real-world Data Analysis Project
🔥 Python Pandas Practice
🔥 Beginner to Advanced Learning
🔥 Best for Data Analytics & Data Science Students
Hashtags:

#python #pandas #dataanalysis #pythonproject #datascience #salesanalysis #pythonforbeginners #dataanalytics #machinelearning #coding #pandasproject #datetime #salesdata #pythonpractice #csvanalysis

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