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Power BI Training - Advanced Courses

Dive deeper into Power BI's modelling power with advanced skills

The course focuses on DAX; Row Context, Functions, Calculated Columns, Measures and working with Various Data Sources.

Learn how to use powerful modelling and data sourcing capabilities to become a Power BI power user in our one-day course. In this course we focus heavily on the complex theory of DAX and how to work with different data sources. Take your business intelligence analysis to the next level with our Power BI Advanced course. View our full Power BI Advanced course outline below.

Power BI Training - Advanced Courses

Advance your Power BI skills by learning DAX; Row Context, Functions, Calculated Columns, Measures and more.
RM 1,700
10 max
1 day

Kuala Lumpur

Upcoming Courses:
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Fri 28 Jan 22
Power BI Advanced
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Power BI Advanced Course Details

RM 1,700
1 day
9am - 4pm ( approx )
Class Size (max)
Class Size (avg)
Reference Materials
CPD Hours
6 hours
Instructor-led training
Live Online
Level 3A Sunway Visio Tower
Lingkaran SV
Sunway Velocity
Kuala Lumpur 55100

Power BI Course Outlines

  • Power BI Beginner
    RM 1,100
  • Power BI Intermediate
    RM 1,700
  • Power BI Advanced
    RM 1,700
  • Power BI DAX
    RM 1,700
  • DA 100 Power BI Certification
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What do I need to know to attend?

  • Use Power BI Desktop to source and transform data, primarily though the user interface / ribbon
  • Basic understanding of and using simple data modelling through, mostly through the user interface / ribbon
  • Knowledge of how to create simple calculated columns and very rudimentary measures using DAX
  • Appreciation of intermediate data modelling techniques such as the use of time intelligence functions, basic data modelling and correct use of table relationships
  • Good understanding of data security and knowledge of simple row level security capabilities in Power BI
  • Advanced Excel skills is desired, knowledge of programming / scripting concepts will be an advantage

Power BI Advanced Learning Outcomes

  • Manage Business Intelligence Processes
  • Model Data for Business Intelligence
  • Understand the basics of Data Analysis Expression (DAX)
  • Import from a variety of Data Sources


  • Understand DAX Relationships
  • Work with Calculated Columns
  • Work with Time Intelligence Function
  • Understand variables in DAX

Power BI Advanced Course Content

  • Course Introduction
  • Overview of Power BI


  • Data Model
  • Data Modelling in the Real World
  • Dataset for these Exercises


  • Data Analysis eXpression (DAX) – Intro
  • Introduction to DAX
  • Learning DAX
  • Advice when creating DAX
  • Third party tools to assist
  • Measures Table
  • Create a Table for Measures


  • DAX – Measures and Filters
  • Filters on a Measure
  • Create simple aggregate measures
  • Using measures on a report page
  • Applying visual layouts and slicers / filters
  • Initial Filter Context
  • Original Filter Context
  • Query Context


  • DAX – The CALCULATE function
  • Introduction to the CALCULATE function
  • Modifying filters with CALCULATE
  • Add, replace, clear column filters
  • Limitation of CALCULATE
  • Adding Filters Replacing Filters
  • The total row Removing / Clearing Filters
  • The ALL and similar functions


  • DAX – Evaluation Contexts
  • Overview of contexts in DAX
  • The Filter Context
  • The Row Context
  • Initial Filter (Query) context
  • Initial Row context
  • Seeing Row context
  • Seeing Row context
  • Introducing a row context


  • DAX – The Rules of Evaluation
  • Introduction to the rules of evaluation
  • The five steps Starting set of filters
  • Specify filtering
  • Filters are applied Propagation of filters
  • Evaluation of expression
  • Stepping through the rules in an example


  • DAX – Contexts & Relationships
  • Introduction to Relationships
  • Filter context follows relationships
  • Explore the filter context
  • How filter context follows relationships
  • Filter context against relationships
  • The Both cross-filter direction
  • Modify the filter direction
  • The CROSSFILTER function
  • Impact on totals


  • DAX – The Filter function
  • Introduction to the FILTER function
  • FILTER returning a table
  • Create a table with FILTER
  • Modify existing filter context with both FILTER and CALCULATE
  • Difference between these methods
  • Using ALL function in FILTER
  • Identical CALCULATE and FILTER
  • Extended exercise – ALL functions


  • DAX – Variables
  • Overview of variables in DAX
  • Creating and using variables
  • Use variables to store a constant
  • Use variables to avoid repetition
  • Where to from here


  • Row Level Security
  • Overview of RLS in Power BI
  • Create dynamic RLS using USERNAME or USERPRINCIPALNAME
  • Load data and enable RLS
  • Testing dynamic RLS in Desktop
  • RLS data access according to organisation hierarchy
  • DAX parent-child functions
  • Publish and assign roles in Power BI Service
  • Create App Workspace


  • Report Features
  • Introduction to advanced features
  • Overview of Drill-through
  • Create report page with drill-through filters
  • Interacting with drill-through
  • Overview of custom report tooltips
  • Modify standard tooltip display
  • Create a custom tooltip
  • Apply the tooltip to a field
  • Apply the tooltip to a visual
  • Overview of Grouping and Binning
  • Create a group
  • Create a bin
  • Binning a date field


  • Date Dimension
  • Overview of Date Dimension in BI
  • Power BI Desktop settings
  • Download or Create own table Data Table with a DateKey
  • Convert a DateKey to a Date
  • Create date table in Power Query
  • Extended exercise – Use parameter to specify date table start and end
  • Create date table with DAX


  • Extended Topic A – API Data Sources
  • Overview of Web and API data sources
  • Query an API data source
  • HTTP and JSON terminology
  • Transform a JSON response
  • Publish to Power BI Service and setup refresh schedule


  • Extended Topic B – Streaming Data Sources
  • Overview of real time streaming data sources
  • Push Datasets and Streaming Datasets
  • Pushing data into a dataset
  • Query data from PubNub stream
  • Configure Dashboard tile to show streaming data from PubNub
  • Create a REST API to push data into Power BI
  • Create JSON object to insert data via this API
  • Push data to created API using web based HTTP Post
  • Create Dashboard tile to show updating data


  • Extended Topic C – Files in Folder
  • Overview of using a folder data source
  • Query a folder containing multiple source files
  • Column consistency
  • Specify a template file to define columns
  • View created queries / functions and dependencies
  • Understand the created process of querying the folder
  • Extended exercise – introduce additional files and unwanted files


  • Additional Study – (Extended Topic D – Power Query M Formula Language
  • Overview of Power Query M Formula Language
  • Basics of Power Query M
  • Values, Records, Lists
  • Operators
  • Conditional Testing
  • Error handling
  • Accessing table data
  • More advanced Power Query M
  • Each Expression
  • Refer to other queries
  • Understand a web query
  • Remove Rows by Filter

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