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Udemy - DAX Power Pivot Time Intelligence - 10 Easy Steps
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Support the needs of Business Intelligence using Time Period Functions in DAX
Create running-totals with DATESYTD(), DATESQTD() & DATESMTD()
Learn how to use PREVIOUSYEAR() and related DAX functions including PREVIOUSQUARTER(), PREVIOUSMONTH() & PREVIOUSDAY()
Customise DAX ready Time Intelligence functions with DATEADD()
Learn how to create base measures including FIRSTDATE(), LASTDATE(), ENDOFMONTH() & STARTOFYEAR()
Learn how to use CLOSINGBALANCE() family of DAX functions
Understand the benefits of FILTER() to super-charge measures in place of CALCULATE()'s "simple" filters
Create a 4-4-5 Custom Calendar in Excel and relate to the existing Data Model
Learn how to recreate DAX in-built Time Intelligence functions for custom calendars
Use DAX Patterns to master navigating the custom calendar
Learn how to over-ride the incoming filter context with the ALL() function
Suppress totals and subtotals with HASONEVALUE()
Create % growth calculations and generate reports to impress
Requirements
You should be familiar with DAX Power Pivot basics i.e. how to create a data model covered in DAX Power Pivot - 10 Easy Steps for Beginners or DAX Power Pivot - 10 Easy Steps for Intermediates
The course is run in Excel 2016 - however, Excel 2013 & 2010 users can follow along
IMPORTANT: You need a version of Excel that is compatible with Power Pivot (Excel 2013/2016/2019 Standalone, Office 365, Enterprise E3/E5, Office Professional 2016, etc.)
This course is designed for PC users (Power Pivot is currently unavailable with Excel for Mac)
Description
This course builds upon the skills learned in the first course in this series DAX Power Pivot – 10 Easy Steps for Beginners.
You have already gotten your hands dirty with DAX & Power Pivot and seen how awesome it is. Now you are ready to take your skills to the next level by delving deeper and acquiring a more thorough understanding of how Power Pivot handles Time data.
Data Analysis Expressions (DAX) includes Time Intelligence functions to support the needs of Business Intelligence analysis by enabling you to manipulate data using time periods, including days, months, quarters, and years, and then build and compare calculations over those periods.
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[ FreeCourseWeb.com ] Udemy - DAX Power Pivot Time Intelligence - 10 Easy Steps.zip
