Power BI Tools: DAX Introduction

Course Description:

The Power BI Tools: DAX Introduction course is two-day session that introduces students to using DAX (Data Analysis Expressions), which is the language used to build custom calculations in the Power BI Data model. The course covers some of the theoretical concepts of the data model and DAX, but the course emphasizes using DAX to solve common business problems.

Upon course completion, students will be able to write their own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code. The course consists of a combination of instructor-led lecture, demonstrations, and hands-on labs.

Software Used During the Class

The standard lab setup for this class consists of a Window 10 PC with Power BI Desktop and DAX Studio installed.

Audience

This course was designed for business users that have been using Power BI to build analytic solutions and are ready to take advantage of the power and flexibility that DAX provides. Learning DAX is a very common “next step” for experienced Power BI users.

Prerequisites

Some experience with Power BI Desktop is recommended and will help students get the most out of the lab work, but it is not specifically required to attend the class.

DAX functions that are covered in this class include:

• Date and time functions: CALENDAR(), DATE(), DATEDIFF(), NOW(), WEEKDAY(), WEEKNUM(), YEAR(), MONTH(), DAY()

• Filter functions: ALL(), ALLCROSSFILTERED(), ALLEXCEPT(), ALLSELECTED(), CALCULATE(), CALCULATETABLE(), FILTER(), KEEPFILTERS(), LOOKUPVALUE(), REMOVEFILTERS()

• Information functions: CONTAINS(), HASONEFILTER(), HASONEVALUE(), ISBLANK(), ISEMPTY(), ISERROR(), USERNAME()

• Logical functions: AND(), COALESCE(), IF(), IF.EAGER(), IFERROR(), NOT(), OR(), SWITCH(), TRUE(), FALSE()

• Math and Statistical Functions: DIVIDE(), SUM(), SUMX(), AVERAGE(), AVERAGEX(), COUNT(), COUNTBLANK(), COUNTROWS(), COUNTX(), DISTINCTCOUNT(), MAX(), MAXX(), MEDIAN(), MEDIANX(), MIN(), MINX(), RANKX()

• Table manipulation functions: CROSSJOIN(), DATATABLE(), NATURALINNERJOIN(), VALUES()

• Text functions: CONCATENATEX(), FIND(), LEFT(), LEN(), MID(), REPLACE(), SEARCH(), TRIM(), VALUE()

• Time intelligence functions: DATEADD(), DATESBETWEEN(), DATESMTD(), DATESQTD(), DATESYTD(), PARALLELPERIOD(), SAMEPERIODLASTYEAR(), TOTALMTD(), TOTALQTD(), TOTALYTD

COURSE OUTLINE

Getting started with DAX
What is DAX?
Basics of DAX syntax
Creating a calculated column
Creating a calculated measure
Creating a calculated table
Differences in evaluation context
Rules of evaluation
Working with variables
Commenting your code
Testing your code

Performing basic calculations
Implicit measures
Adding quick measures
Doing basic math
Using logic in your calculations
Aggregating and summarizing data
Working with DAX data types

Working with context in the data model
Context defined
Data modeling basics
Introduction to dimensional modeling
Relationships and their effect on the evaluation context
Getting data from other tables using RELATED and RELATEDTABLE
Modifying the context using CALCULATE
Looking up data without using relationships

Performing more advanced calculations
Handling errors gracefully
Using DAX iterator functions
Using table manipulation functions
Troubleshooting your calculations using the Performance Analyzer and DAX Studio

Working with time
Performing date calculations
Working with date tables
Generating a date table with the CALENDAR() function
Defining custom operating periods
YTD, QTD, and MTD calculations
Custom to-date calculations
Finding year-over-year change
Finding moving averages

Enhancing the user experience
Controlling visibility of your measures
Using What-if parameters
Adding banding
Using DAX to provide row-level security

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Upskill your team from the comfort of your office or online.

Benefits of Group Training Include:

• Experienced Professional Instructor Trains Your Team
• Content Focused On Your Team's Needs
• Convenient Scheduling and Class Setup
• Significant Per/Student Cost Savings
• Online, On-Site and Blended Options Available

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