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Data Science & Analytics Task 1

πŸ“Š Business Sales Dashboard from E-commerce Data

πŸ” About the Task

In this real-world internship task, you’ll work with e-commerce sales data to build a professional, interactive dashboard. The goal is to help business owners and decision-makers understand:

  • What are the best-selling products?
  • When do sales peak during the year?
  • Which categories or regions bring the most revenue?

You don’t need coding skills – just curiosity and willingness to learn data analytics using Power BI and Excel.

βœ… What You’ll Do

  • Clean and organize raw sales data (Excel/CSV format).
  • Analyze patterns like monthly sales trends, category-wise performance, and customer behavior.
  • Build a visually appealing Power BI dashboard with filters and charts.
  • Present insights and recommendations as if you were helping a real business.

🎯 Skills You’ll Gain

  • πŸ’‘ Data cleaning & transformation
  • πŸ“† Time series trend analysis
  • πŸ“Š DAX (Data Analysis Expressions) for creating KPIs
  • πŸ“ˆ Business storytelling with visuals
  • πŸ“₯ Importing & handling Excel/CSV datasets

πŸ› οΈ Tools You’ll Use

  • Power BI Desktop – Download here (Free)
  • Microsoft Excel – Basic data exploration and formatting
  • Optional: SQL – If you want to take your data preprocessing to the next level

πŸ“ Sample Datasets (Choose any one to start)

These are free datasets – no sign-in required:

  1. πŸ›’ E-commerce Sales Data (Kaggle)
    Contains over 500K online sales transactions from a UK-based retailer.
  2. πŸ’» Superstore Sales Dataset
    Perfect for beginners β€” includes region, product, and sales info.
  3. 🧾 E-commerce Data – Orders & Customers (Kaggle)
    Multi-category store behavior from millions of sessions.

πŸŽ“ Tutorial to Get Started (For Reference)

No experience? No worries! Follow this step-by-step video:

πŸ“Ί YouTube: Build E-Commerce Sales Dashboard in Power BI (Beginner Friendly)
(Covers everything from loading data to creating beautiful charts.)

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