Power Query in Power BI: Fix Your Messy Data Before It Ruins Your Report 😳

Your Power BI report can have perfect DAX and beautiful visuals… but if your raw data is messy, your report can still give you problems. 😳 In this video, we’ll take a messy Excel dataset and use Power Query Editor to clean, transform, and prepare the data before loading it into Power BI. You’ll learn: 🔹 What is Power Query Editor? 🔹 Why do we use Power Query in Power BI? 🔹 How to identify problems in raw data 🔹 Fixing incorrect data types 🔹 Handling missing values 🔹 Removing duplicates 🔹 Cleaning extra spaces 🔹 Standardizing inconsistent values 🔹 Working with dates 🔹 Creating conditional logic 🔹 Validating transformed data 🔹 Understanding Applied Steps 🔹 Merge vs Append 🔹 Power Query vs DAX 🔹 What happens when the data refreshes? Instead of simply explaining Power Query buttons, we'll understand the complete thought process: RAW DATA → CLEAN → TRANSFORM → VALIDATE → POWER BI This is part of the DataJivi Power BI Interview Playlist. If you're preparing for Power BI interviews or working with real-world data, understanding Power Query is an important skill. Subscribe to DataJivi for practical Power BI, SQL, Microsoft Fabric, Data Analytics and AI content. #PowerBI #PowerQuery #DataAnalytics #PowerQueryEditor #PowerBITutorial #PowerBIInterview #PowerBIDesktop #DataCleaning #DataTransformation #PowerBIForBeginners #DataAnalyst #MicrosoftPowerBI #DAX #DataJivi