Dive deeper into Power BI and further your skills 

This course focuses on streamlining report creation, working with multiple date-dimension tables and role-playing dimensions, understanding filter context, using DAX to modify filter context, dynamic row-level security and using advanced report features such as drill-through, custom tooltips and report navigation. 

In this one-day course you will gain a deeper understanding of evaluation of DAX measures and wider exposure to features within Power BI Desktop. 

Take your business intelligence analysis to the next level with our Power BI Advanced course.

Course Introduction

• Overview of Power BI

Data Model

• Data modelling in the real world
• The dataset

Themes, Parameters and Templates

• Report themes
• Parameters for changing the data source
• Report templates

Advanced Slicing

• Working with multiple date dimension tables
• Create a date dimension table using DAX
• Role-playing dimensions
• Create hierarchies

DAX Measures and Filters

• What is DAX?
• DAX measures
• Measures table
• Filters on a measure
• Filter context

DAX Measures and Filters cont'd

• Measure evaluation with empty filter context
• Measure evaluation with propagation of filters
• Adding to the filter context
• Using DAX to modify the filter context

Basic Filtering with CALCULATE

• CALCULATE basics
• CALCULATE with simple filters
• Filter behaviour
• CALCULATE with table expression filters

CALCULATE and Filter Modifiers

• USERELATIONSHIP
• REMOVEFILTERS
• ALLSELECTED
• KEEPFILTERS
• CROSSFILTER
• Filter context follows relationships
• Bidirectional cross filtering
• Temporarily change the cross-filter direction

Report Features

• Bin data
• Group data
• Drill through
• Custom report tooltips
• Manually setting a report tooltip
• Add navigation
• Page navigator
• Page navigation buttons
• Drill-through buttons

Row-Level Security

• USERNAME
• Parent-child hierarchy
• PATH
• LOOKUPVALUE
• Dynamic row-level security
• Publish and test RLS

Extended Exercise – API Data Sources

• Query a real API data source
• HTTP and JSON terminology
• Transform a JSON response
• Publish to the Power BI Service

Extended Exercise – Data Streaming

• Stream data from PubNub

Extended Exercise – Files in Folders

• Query a folder of files
• Column consistency
• Understanding the folder query
• View Query Dependencies

Extended Exercise – Power Query M Language

• Syntax
• Lots of hashes
• The let and in statements
• Basic exercises in M
• Values, records and lists
• Operators

Extended Exercise – Power Query M Language cont'd

• Conditional testing – if
• Errors and error handling
• Accessing table data
• More advanced M language exercises
• Each expression
• Refer to other queries
• Understanding a web query
• Remove rows by filtering

Private/ Group Enrolments:
This course is available for individual enrolment and Private classes (min 10 students). Please contact Lumify to organise a quote.

What do I need to know to attend?

• Intermediate skills in Power BI Desktop, Power Query Editor and Power BI Service, including:
  • import data from various sources
  • manipulate data in Power Query
  • create visualisations
  • understand how to use slicers and report and page filters
  • work with drill-down in visualisations
• Basic understanding of simple data modelling
• Knowledge of how to create calculated columns and measures
• Basic understanding of row-level security

Learning Outcomes

Upon completion of this course you will be able to:

• Use parameters for changing data sources
• Create and use report templates
• Use relative dates in slicers, work with multiple date dimension tables and use role-playing dimensions
• Understanding DAX measure evaluation and filter contexts
• Use DAX to modify filter context
• Work with advanced report features including custom tooltips, drill through and navigation
• Implement and use dynamic row-level security

PowerBI Intermediate or equivilent experience