Flipkart Data Analysis with Python | Labmentix
Explore Flipkart data using Python for insights in this EDA project by Labmentix. 📊

Labmentix
20 views • Feb 7, 2026

About this video
In this video, we perform an Exploratory Data Analysis (EDA) on the Flipkart dataset using Python to extract meaningful insights from real-world e-commerce data.
This project is designed for data analyst aspirants, students, and professionals who want to build industry-ready portfolio projects.
What you’ll learn:
• Understanding the Flipkart dataset
• Data cleaning & preprocessing techniques
• Exploratory Data Analysis (EDA) using Python
• Product pricing, ratings & trend analysis
• Turning raw data into business insights
Tools & Libraries Used:
Python, Pandas, NumPy, Matplotlib, Seaborn
This project is part of Labmentix’s hands-on learning approach, focused on real-world datasets, practical skills, and job-ready analytics projects.
If you’re aiming for a career in Data Analytics, Data Science, or Business Analytics, this Flipkart EDA project is a strong addition to your portfolio.
Subscribe to Labmentix for more real-world data projects, placement-focused learning, and career guidance.
This project is designed for data analyst aspirants, students, and professionals who want to build industry-ready portfolio projects.
What you’ll learn:
• Understanding the Flipkart dataset
• Data cleaning & preprocessing techniques
• Exploratory Data Analysis (EDA) using Python
• Product pricing, ratings & trend analysis
• Turning raw data into business insights
Tools & Libraries Used:
Python, Pandas, NumPy, Matplotlib, Seaborn
This project is part of Labmentix’s hands-on learning approach, focused on real-world datasets, practical skills, and job-ready analytics projects.
If you’re aiming for a career in Data Analytics, Data Science, or Business Analytics, this Flipkart EDA project is a strong addition to your portfolio.
Subscribe to Labmentix for more real-world data projects, placement-focused learning, and career guidance.
Video Information
Views
20
Likes
1
Duration
9:25
Published
Feb 7, 2026
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