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2. Date and Time Functions in DAX in Power BI
In this video we will understand and learn about Date and Time functions in DAX. Sometimes we get requirement to get analysis on week basics and other time related information. We may not get everything in Charts. Some Calculations we need to perform. Using calculated columns and measures in DAX we can achieve this. Functions like YEAR,MONTH,DAY, WEEKNUM, WEEKDAY is covered in this video.
So in this playlist we are going to see -
1. Detailed Explanation of DAX functions
2. Widely used DAX Functions in real time
3. Master and become Expert in DAX
WHAT IS Date and Time Functions ?
These functions help you create calculations based on dates and time. Many of the functions in DAX are similar to the Excel date and time functions. However, DAX functions use a datetime data type, and can take values from a column as an argument.
Unlock the true potential of Power BI by mastering date and time functions with us today! Join us at KSR Datavision as we dive deep into DAX functionalities that empower you to answer critical business questions with precision. Whether you're curious about the weekday with the highest sales or identifying the most profitable week of the year, this session equips you with the skills to create custom columns effortlessly. Register now and take advantage of our exclusive demo classes, allowing you to explore our teaching style for a week before committing. Visit ksrdatavision.com for more information on course start dates, times, and trainer details. Connect with our course advisors for personalized guidance and join our WhatsApp group for real-time updates. Equip yourself with professional insights into #PowerBI and elevate your data storytelling. #ksrdatavision #datascience #microsoftfabric #aws #azure #TechCareers #DataVisualization #BusinessIntelligence #AI #GenerativeAI
CHAPTERS:
00:00 - Data Set
01:21 - Client Questions
03:05 - Why DAX for Data Analysis
06:32 - Weekday Calculation in DAX
07:53 - Week Number Function in DAX
08:34 - Formatting DAX Outputs
11:23 - Thank You and Conclusion
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