DAX Calculations in Power BI – Beginners to Intermediate

DAX (Data Analysis Expressions) is a library of functions and operators that can be combined to build formulas and expressions in Power BI, Analysis Services and Power Pivot in Excel data models.
October 21, 2024
11:00 AM - 04:00 PM (Eastern Time)
Duration: 3 Days
Hours: 15 Hours
Training Level: All Levels
Virtual Class Id: 52026
Live Session
Single Attendee
$299.00 $499.00
Live Session
Recorded
Single Attendee
$349.00 $583.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$399.00 $666.00
6 month Access for Recorded
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About the Course:

Data Analysis Expressions (DAX) is a programming language that is used throughout Microsoft Power BI for creating calculated columns, measures, and custom tables. It is a collection of functions, operators, and constants that can be used in a formula, or expression, to calculate and return one or more values.

Dr. Sameer Rohadia, a Microsoft Certified Power BI Professional & Microsoft Certified Trainer, has trained 9000+ Industry professionals, University Professors and students in the area of MS Power BI and MS Excel. He has a reputation for delivering excellent, logically structured courses that are easy to follow and get the point across without wasting learners’ time.

In this 15-hour virtual & hands-on course, you will learn how to create relationships, measures, calculated columns, use DAX and all the other skills you need to build a data model that ensures your reports are top-notch! 

Course Objective:

  • Enjoy clear and concise step by step lessons from a 5-star rated BI Specialist & Certified IT Trainer
  • Use DAX and learn what you can achieve with DAX if utilized well
  • Structure and format DAX formula
  • Have a comprehensive understanding of creating data models and developing DAX formulas in Microsoft Power BI
  • Create calculated Columns and Measures using DAX in Power BI
  • Perform sophisticated calculations such as Time Intelligence, Relationship and Table functions
  • Audit your formulas by understanding Filter and Row context

Who is the Target Audience?

  • Aspiring data professionals looking to master the #1 BI tool on the market
  • Excel users who want to learn how to create Professional reports in Power BI
  • Data Analytics or BI professionals looking to build expert-level DAX + Power BI skills
  • Students looking for a comprehensive, engaging and highly interactive approach to training

Basic Knowledge:

  • Some basic knowledge in Power BI is strongly encouraged
  • Recommend completing my “Microsoft Power BI Bootcamp” course available on Virtual Trainings platform (25-hour virtual course) before registering for this one

Curriculum
Total Duration: 15 Hours
Introduction to DAX

  • What is DAX?  
  • DAX data types  
  • Calculated Columns  
  • Measures  
  • Aggregation functions  
  • Counting values  
  • Conditional functions  
  • Handling errors  
  • Relational functions  
  • IF function  
  • SWITCH function  

EVALUATION CONTEXTS

  • Introduction to evaluation contexts  
  • Filter context  
  • Row context  
  • Filtering a table  
  • Using RELATED in a row context  
  • Filters and Relationships  

CALCULATE function

  • Introduction to CALCULATE function CSV files  
  • CALCULATE syntax explanation  
  • CALCULATE examples  
  • CALCULATE operators  
  • KEEPFILTERS  
  • REMOVEFILTERS  

TABLE functions

  • Introduction to Table functions  
  • Filtering a table  
  • Ignoring filters  
  • Mixing filters  
  • DISTINCT  
  • ALLSELECTED  
  • ALLEXCEPT  

RELATIONSHIP functions

  • Introduction to relationship functions  
  • RELATED  
  • RELATEDTABLE  
  • USERELATIONSHIP  
  • CROSSFILTER  
  • TREATAS  

TIME INTELLIGENCE functions

  • Introduction to time intelligence functions  
  • Creating Date table  
  • CALENDARAUTO, CALENDAR  
  • Aggregations over time - YTD, QTD, MTD  
  • DATESBETWEEN  
  • DATESINPERIOD  
  • DATEDIFF  
  • DATEADD  
  • SAMEPERIODLASTYEAR  
  • PREVIOUSMONTH  
  • PARALLELPERIOD  
  • Mixing time intelligence functions  
  • Semi-additive measures  
  • Calculations over weeks