Vehicle Road Accident Data Analytics Project | End-to-End Power BI Dashboard with Microsoft Fabric

Описание: 🚀 In this video, I walk you through a complete end-to-end Power BI Data Analytics Project using Microsoft Fabric on a real-world road accident dataset with nearly half a million records and an 80MB file.

This project demonstrates how modern analytics solutions are built using Microsoft Fabric Lakehouse, Dataflow Gen2, Fabric Data Warehouse, semantic modeling, DAX measures, and Power BI Desktop — exactly the way enterprise BI systems are designed today.

📊 What You’ll Learn in This Power BI Project:
✔ How to load flat file data into Microsoft Fabric Lakehouse
✔ Data cleaning and transformation using Dataflow Gen2 (ETL process)
✔ Implementing Medallion Architecture (Bronze, Silver, Gold layers)
✔ Storing curated data in Microsoft Fabric Data Warehouse
✔ Creating relational data models with multiple tables
✔ Building semantic models with relationships and DAX measures
✔ Designing interactive Power BI dashboards with meaningful insights
✔ Publishing reports to Power BI Premium workspace for end users


📈 Key Business Questions This Dashboard Answers:
• When do most road accidents occur? (daily, monthly, yearly trends)
• Which districts are high-risk accident hotspots?
• How does weather, light, and road condition impact accidents?
• What is the severity distribution (fatal, serious, slight)?
• Which vehicle types are most involved in accidents?
• How many casualties occur by location and time?


🔥 Why This Is a Perfect Power BI Portfolio Project:
This is a real-world, large-scale analytics pipeline using Microsoft Fabric — ideal for:
✅ Data Analysts
✅ Power BI Developers
✅ Microsoft Fabric learners
✅ BI & Analytics portfolio projects
✅ Interview preparation


If you’re searching for:
Power BI dashboard project
Power BI real world project
Microsoft Fabric end to end project
Power BI data analytics project
Power BI ETL pipeline tutorial
Fabric Lakehouse tutorial
Power BI with Fabric architecture


👉 This video covers everything in one complete workflow.

📌 Don’t forget to LIKE, SUBSCRIBE, and COMMENT “FABRIC” if you want the dataset and step-by-step tutorial!