Power BI for the Cloud - Level 3 - Advanced Languages

This course takes an in-depth approach to the DAX language, teaching designers how to build models that extend the capabilities of source data for more in-depth, customized business intelligence solutions. This course will also introduce students to the M-Language and how it can be used to make querying more effective. Topics covered include proper understanding of DAX evaluation, controlling evaluation context, understanding relational functions, error handling within the data model, working with complex time intelligence calculations, creating advanced DAX dashboards and report elements using Slicers, and understand the importance of the M Language and its uses.

Course Outline

Lesson 1 : Power BI Functions – M Language

  • M Language vs DAX Functions

  • Basic M Language Syntax

  • Working with Columns

  • IF Expression in M Language

  • Query Cleanup


Lesson 2 : Basic DAX Functionality

  • Review of Calculated Columns

  • Review of Measures

  • Rules of Evaluation

  • Evaluation Context

  • Formatting DAX Code


Lesson 3 : Controlling Content & Values

  • Controlling Values - DAX

  • M Custom Functions

  • Error Handling


Lesson 4 : Context Control Functions

  • Iterative Functions

  • FILTER Function

  • ALL Function

  • CALCULATE Function

  • Additional Uses Of The ALL Function


Lesson 5 : Contexts In Relationships

  • Working With Many Tables

  • Row Context & Relationships

  • Elevated Calculated Columns

  • Filter Context & Relationships

  • Cross Filtering Issues


Lesson 6 : Advanced Concepts

  • Controlling Totals

  • Parameter Tables

  • Banding


Lesson 7 : Time Intelligence Calculations

  • Working With Date Tables

  • Calculating Operating Periods

  • Working With Missing Periods

  • To-Date Functions

  • Advanced Date Functions

  • Prior Year Functions

Audience

Available Course Dates

11/02/2017 11:00 am - 11/03/2017 7:00 pm
12/19/2017 11:00 am - 12/20/2017 7:00 pm
02/15/2018 11:00 am - 02/16/2018 6:00 pm
04/12/2018 11:00 am - 04/13/2018 7:00 pm
06/07/2018 11:00 am - 06/08/2018 7:00 pm
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