Introduction to DAX for Power BI
This Introduction to DAX for Power BI presents Data Analysis Expressions (DAX) in Power BI from an intermediate to an advanced level. The journey starts with an introductory discussion about DAX, the syntax of DAX statements, and how to write structured DAX in the DAX editor. You also get an introduction to DAX Studio, a third-party tool that can be used to write DAX. You can decide if you want to use DAX Studio for the course exercises. We will discuss many of the functions in DAX and how they could be used in a Power BI Project including explaining the use of iterator functions vs standard statistical functions. There are discussions explaining Calculated Columns, Tables, and Measures discussing the differences. There is also an explanation about Quick Measures and how we can utilize those. We will explain DAX Context and where those contexts apply. There are separate discussions for the CALCULATE function, the usage of a Data Model and incorporating a Date Dimension, and also using Time Intelligence Functions. We will conclude with a discussion around utilizing DAX with Row Level Security. Introduction to DAX for Power BI Benefits Structure DAX with Power BI and DAX Studio Extract business intelligence by using DAX Add value with measures, calculated columns and calculated tables using DAX Utilize the different types of Dax functions Appreciate DAX context and where it applies Understand the use of a Data Model and how to extend it Create a Star and/or Snowflake schema as your data model Add a Date dimension to your model Implement Row Level security with DAX Develop a Star Schema from a Flat File Schema Decide when to use M in Power Query or DAX in Power BI Leverage continued support with after-course one-on-one instructor coaching and computing sandbox Introduction to DAX for Power BI Course Outline Introduction to DAX for Power BI Course Information Prerequisites Introduction to Power BI Training Power BI: Hands-On Reports and Dashboards Training Power BI: Advanced Data Modeling and Shaping or equivalent working experience Audience Profile This course has been designed specifically for experienced model developers. We recommend that attendees have prior experience working with Power BI Desktop to create data models. Exam Information Learning Tree Exam provided at the end of class Introduction to DAX for Power BI Course Outline Chapter 1: Introduction to DAX In this module, you will learn: What is DAX? DAX Functions Calculated Columns and Tables Quick Measures and Measures DAX Context Writing DAX in Power BI Hands-On Exercise 1.1: Introduction to DAX Chapter 2: Working with a Data Model In this module, you will learn: Understand the role of the Data Model in Power BI Describe the components of a Data Model What are Star and Snowflake schemas? Fact and Dimension tables How to build a Data Model from multiple Data sources Why create a Date Dimension? Hands-On Exercise 2.1: Working with a Data Model Chapter 3: Using DAX in Power BI In this module, you will learn: Writing DAX with DAX Studio Formatting DAX with DAX Formatter Summarizing and Aggregating functions Working with Joins Filtering with DAX Other useful Dax Functions Hands-on Exercise 3.1 Working with DAX Functions – Part 1 Describe the power behind the CALCULATE function Add filters with the CALCULATE function Ignore filters with the CALCULATE function Update filters with the CALCULATE function Describe Time Intelligence and the Time Intelligence functions Hands-On Exercise 3.2 Working with DAX Functions – Part 2 Chapter 4: DAX and Row Level Security In this module, you will learn: What is Row Level Security (RLS) Useful DAX functions for RLS Defining Roles for RLS Crating DAX Rules for RLS Managing Security and working with Members Exercise 4.1 Implementing Row Level Security Chapter 5: Comparing DAX and M In this module, you will learn: Overview of M in Power Query When to use M or DAX