Retail Sales Data Analysis with Python | Portfolio Project for Data Analyst & Fresher Jobs

Описание: Kickstart Your Data Analyst Career with This Real-World Project!
In this video, I guide you through a complete retail sales data analysis project using Python and pandas, perfect for adding to your resume, LinkedIn, or data science portfolio. This project uses actual sales data from Dmart to give you hands-on experience with EDA, KPI tracking, and business analytics.

👉 Designed for:

Aspiring Data Analysts / Business Analysts

Freshers and career switchers

Data science & analytics learners building projects for interviews

🎓 What You’ll Learn in This Project:
✔️ Real-world data cleaning & preprocessing
✔️ Exploratory Data Analysis (EDA) using pandas
✔️ Visual storytelling with matplotlib & seaborn
✔️ Revenue trends, category insights, and customer segmentation
✔️ How to present business insights like a pro

📥 Download Dataset:
🔗 https://raw.githubusercontent.com/nil...

💻 Get the Full Notebook & Code:
🔗 GitHub Repo – https://github.com/nilakshiGogoi/Dmar...

📁 Project Notebook: Retail_dmart.ipynb

🛠 Tech Stack Used:

Python
pandas
matplotlib & seaborn
Jupyter Notebook / Google colab

✅ Why This Project Matters:

HRs and hiring managers want real business use cases in your portfolio

It’s beginner-friendly but job-ready

Can be added under Projects section of your resume

Great for explaining in technical interviews and case studies

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Let me know if you want a walkthrough of your own dataset or want help preparing for interviews!

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