🔥 Power BI Day 4 | Data Cleaning, Data Modeling & DAX Explained for Beginners (2026)

📊 Power BI Day 4 | Data Cleaning, Data Modeling & DAX Explained for Beginners (2026) 🚀 Welcome to Day 4 of my Power BI Learning Journey! In this video, you'll learn three of the most important Power BI concepts that every Data Analyst must know Download this data from GitHub link : https://github.com/Balajigutte84/Raw-... For dataset website link : https://www.kaggle.com/competitions For dataset website 2 link : https://mavenanalytics.io/data-playgr... ✅ Data Cleaning & Transformation using Power Query ✅ Creating Data Models and Building Relationships ✅ Writing Powerful DAX Measures and Calculated Columns ✅ Understanding Star Schema Concepts ✅ Best Practices for Data Modeling ✅ Real-world Examples for Beginners Whether you're a beginner, aspiring Data Analyst, Business Analyst, or preparing for a Power BI interview, this tutorial will help you build a strong foundation in Power BI. 🎯 What You'll Learn: Clean and prepare raw data Remove duplicates and handle missing values Create relationships between tables Build an efficient data model Create DAX measures and calculations Improve report performance and accuracy 🔥 Follow this complete Power BI series from Day 1 to become job-ready in Data Analytics. 👍 If you find this video helpful, don't forget to: ✔ Like the video ✔ Share with your friends ✔ Subscribe to the channel ✔ Turn on notifications for upcoming Power BI tutorials #PowerBI #DataCleaning #DataModeling #DAX #BusinessIntelligence #DataAnalytics #PowerBITutorial #PowerBIForBeginners #PowerQuery #LearnPowerBI #DataAnalyst #Dashboard #MicrosoftPowerBI #Analytics #PowerBI2026 📌 What was your biggest takeaway from today's Power BI lesson: Data Cleaning, Data Modeling, or DAX? Let me know in the comments! 🚀👇 #LearnWithMe #PowerBIJourney #Day4 #DataCleaning #DataModeling #DAX #DataAnalytics #PowerBICommunity #MicrosoftPowerBI #BusinessIntelligence