Power Query Date Functions | Complete Date Transformation Tutorial | Episode 04

📊 Power Query – Date Functions | Episode 04 Welcome to Episode 04 of the Power Query series by Dr. Banshilal Patidar. 🎬 Download dataset :- https://drive.google.com/drive/folder... In this practical tutorial, we will learn how to work with Date, Time and Duration Functions in Power Query Editor and understand how dates can be transformed and analyzed efficiently in Power BI. 🔹 In this episode, you will learn: ✅ Working with Date data types ✅ Extract Year from Date ✅ Extract Month and Month Name ✅ Extract Quarter ✅ Extract Day ✅ Day of Week and Day Name ✅ Start of Year / End of Year ✅ Start of Month / End of Month ✅ Start of Quarter / End of Quarter ✅ Date Difference concepts ✅ Subtracting dates ✅ Working with Date and DateTime values ✅ Practical date-cleaning examples ✅ Understanding the M code generated by Power Query 🎯 Practical Example We will work with real-world sales data and transform an Order Date into useful analytical columns such as Year, Month, Quarter, Day and Day Name. By the end of this video, you will have a clear understanding of how to use Power Query's date transformation capabilities while preparing data for your Power BI reports and dashboards. 👨‍🏫 Instructor: Dr. Banshilal Patidar If you find this tutorial useful, please Like 👍 | Share 🔄 | Subscribe 🔔 to support the channel. 💡 Comment below: Which Power Query function would you like me to cover in the next episode? #PowerBI #PowerQuery #PowerQueryDateFunctions #DateFunctions #PowerBITutorial #PowerQueryTutorial #PowerBIForBeginners #DataAnalytics #DataTransformation #MicrosoftPowerBI #MLanguage #BusinessIntelligence #LearnPowerBI #PowerBITraining #DrBanshilalPatidar