Microsoft Power BI DAX Training Course

Learn the fundamentals of DAX on our One-Day Course - login from home

All courses available in-class or remotely.
To attend remotely, select "Remote East" or "Remote West" as your location on book now.


Power BI is a powerful tool, and in order to take your modeling ability to the next level it's essential to have a solid understanding of the DAX language. While it's possible to achieve a lot without DAX knowledge, delving into this language will unlock a whole new level of capabilities and insights. Our comprehensive one-day course builds on the knowledge our students have already learnt through the beginner, intermediate, and advanced Power Bi courses, and introduces key concepts of DAX as well as guiding them through practical exercises on how to write DAX formulas. You will learn:

  • To write DAX functions and understand expressions
  • Use tools to help manage and create DAX
  • Create complex expressions
  • Learn methods to optimise expressions and more.

Microsoft Power BI DAX Training Course

Learn Power BI DAX from our experienced trainers. Login remotely or attend our CBD locations nationwide.

$595
10 max
1 day
$595
10 max
1 day
$595
10 max
1 day
$595
10 max
1 day
$595
10 max
1 day
$595
10 max
1 day
$595
10 max
1 day
$595
10 max
1 day
$595
10 max
1 day

Remote East

Brisbane

Sydney

Parramatta

Melbourne

Canberra

Adelaide

Perth

Remote West

Upcoming Courses:
Remote East
Date
Course
City
Status
Fri 26 Apr 24
Fri
26
Apr
Power BI DAX
Remote East
Status: Confirmed
Confirmed
Fri 3 May 24
Fri
3
May
Power BI DAX
Remote East
Status: Confirmed
Confirmed
Tue 21 May 24
Tue
21
May
Power BI DAX
Remote East
Status: Few Seats
Few Seats
Tue 4 Jun 24
Tue
4
Jun
Power BI DAX
Remote East
Status: Confirmed
Confirmed
Fri 14 Jun 24
Fri
14
Jun
Power BI DAX
Remote East
Status: Confirmed
Confirmed
Thu 27 Jun 24
Thu
27
Jun
Power BI DAX
Remote East
Status: Confirmed
Confirmed
Mon 1 Jul 24
Mon
1
Jul
Power BI DAX
Remote East
Status: Confirmed
Confirmed
Mon 22 Jul 24
Mon
22
Jul
Power BI DAX
Remote East
Status: Scheduled
Scheduled
Tue 23 Jul 24
Tue
23
Jul
Power BI DAX
Remote East
Status: Scheduled
Scheduled
Thu 25 Jul 24
Thu
25
Jul
Power BI DAX
Remote East
Status: Scheduled
Scheduled
Brisbane
Date
Course
City
Status
Fri 3 May 24
Fri
3
May
Power BI DAX
Brisbane
Status: Confirmed
Confirmed
Tue 21 May 24
Tue
21
May
Power BI DAX
Brisbane
Status: Few Seats
Few Seats
Fri 14 Jun 24
Fri
14
Jun
Power BI DAX
Brisbane
Status: Confirmed
Confirmed
Thu 27 Jun 24
Thu
27
Jun
Power BI DAX
Brisbane
Status: Confirmed
Confirmed
Mon 22 Jul 24
Mon
22
Jul
Power BI DAX
Brisbane
Status: Scheduled
Scheduled
Fri 16 Aug 24
Fri
16
Aug
Power BI DAX
Brisbane
Status: Scheduled
Scheduled
Thu 19 Sep 24
Thu
19
Sep
Power BI DAX
Brisbane
Status: Scheduled
Scheduled
Thu 17 Oct 24
Thu
17
Oct
Power BI DAX
Brisbane
Status: Scheduled
Scheduled
Sydney
Date
Course
City
Status
Fri 26 Apr 24
Fri
26
Apr
Power BI DAX
Sydney
Status: Confirmed
Confirmed
Tue 21 May 24
Tue
21
May
Power BI DAX
Sydney
Status: Few Seats
Few Seats
Fri 14 Jun 24
Fri
14
Jun
Power BI DAX
Sydney
Status: Confirmed
Confirmed
Thu 27 Jun 24
Thu
27
Jun
Power BI DAX
Sydney
Status: Confirmed
Confirmed
Tue 23 Jul 24
Tue
23
Jul
Power BI DAX
Sydney
Status: Scheduled
Scheduled
Fri 16 Aug 24
Fri
16
Aug
Power BI DAX
Sydney
Status: Scheduled
Scheduled
Thu 19 Sep 24
Thu
19
Sep
Power BI DAX
Sydney
Status: Scheduled
Scheduled
Thu 17 Oct 24
Thu
17
Oct
Power BI DAX
Sydney
Status: Scheduled
Scheduled
Parramatta
Date
Course
City
Status
Mon 1 Jul 24
Mon
1
Jul
Power BI DAX
Parramatta
Status: Scheduled
Scheduled
Thu 25 Jul 24
Thu
25
Jul
Power BI DAX
Parramatta
Status: Scheduled
Scheduled
Tue 8 Oct 24
Tue
8
Oct
Power BI DAX
Parramatta
Status: Scheduled
Scheduled
Fri 1 Nov 24
Fri
1
Nov
Power BI DAX
Parramatta
Status: Scheduled
Scheduled
Melbourne
Date
Course
City
Status
Fri 3 May 24
Fri
3
May
Power BI DAX
Melbourne
Status: Scheduled
Scheduled
Tue 21 May 24
Tue
21
May
Power BI DAX
Melbourne
Status: Confirmed
Confirmed
Fri 14 Jun 24
Fri
14
Jun
Power BI DAX
Melbourne
Status: Confirmed
Confirmed
Thu 27 Jun 24
Thu
27
Jun
Power BI DAX
Melbourne
Status: Scheduled
Scheduled
Tue 23 Jul 24
Tue
23
Jul
Power BI DAX
Melbourne
Status: Scheduled
Scheduled
Fri 16 Aug 24
Fri
16
Aug
Power BI DAX
Melbourne
Status: Scheduled
Scheduled
Thu 19 Sep 24
Thu
19
Sep
Power BI DAX
Melbourne
Status: Scheduled
Scheduled
Thu 17 Oct 24
Thu
17
Oct
Power BI DAX
Melbourne
Status: Scheduled
Scheduled
Canberra
Date
Course
City
Status
Wed 1 May 24
Wed
1
May
Power BI DAX
Canberra
Status: Sold Out
Sold Out
Tue 23 Jul 24
Tue
23
Jul
Power BI DAX
Canberra
Status: Scheduled
Scheduled
Fri 16 Aug 24
Fri
16
Aug
Power BI DAX
Canberra
Status: Scheduled
Scheduled
Thu 19 Sep 24
Thu
19
Sep
Power BI DAX
Canberra
Status: Scheduled
Scheduled
Thu 17 Oct 24
Thu
17
Oct
Power BI DAX
Canberra
Status: Scheduled
Scheduled
Adelaide
Date
Course
City
Status
Fri 26 Apr 24
Fri
26
Apr
Power BI DAX
Adelaide
Status: Confirmed
Confirmed
Tue 4 Jun 24
Tue
4
Jun
Power BI DAX
Adelaide
Status: Confirmed
Confirmed
Tue 23 Jul 24
Tue
23
Jul
Power BI DAX
Adelaide
Status: Scheduled
Scheduled
Fri 16 Aug 24
Fri
16
Aug
Power BI DAX
Adelaide
Status: Scheduled
Scheduled
Fri 20 Sep 24
Fri
20
Sep
Power BI DAX
Adelaide
Status: Scheduled
Scheduled
Thu 17 Oct 24
Thu
17
Oct
Power BI DAX
Adelaide
Status: Scheduled
Scheduled
Perth
Date
Course
City
Status
Mon 13 May 24
Mon
13
May
Power BI DAX
Perth
Status: Confirmed
Confirmed
Fri 7 Jun 24
Fri
7
Jun
Power BI DAX
Perth
Status: Confirmed
Confirmed
Mon 24 Jun 24
Mon
24
Jun
Power BI DAX
Perth
Status: Scheduled
Scheduled
Thu 11 Jul 24
Thu
11
Jul
Power BI DAX
Perth
Status: Scheduled
Scheduled
Fri 6 Sep 24
Fri
6
Sep
Power BI DAX
Perth
Status: Scheduled
Scheduled
Thu 17 Oct 24
Thu
17
Oct
Power BI DAX
Perth
Status: Scheduled
Scheduled
Remote West
Date
Course
City
Status
Mon 13 May 24
Mon
13
May
Power BI DAX
Remote West
Status: Confirmed
Confirmed
Fri 7 Jun 24
Fri
7
Jun
Power BI DAX
Remote West
Status: Confirmed
Confirmed
Mon 24 Jun 24
Mon
24
Jun
Power BI DAX
Remote West
Status: Scheduled
Scheduled
Thu 11 Jul 24
Thu
11
Jul
Power BI DAX
Remote West
Status: Scheduled
Scheduled
Fri 6 Sep 24
Fri
6
Sep
Power BI DAX
Remote West
Status: Scheduled
Scheduled
Thu 17 Oct 24
Thu
17
Oct
Power BI DAX
Remote West
Status: Scheduled
Scheduled
Scheduled
Taking enrollments.
Confirmed
Taking enrollments.
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Power BI DAX Course Details

Price
$595
Duration
1 day
Times
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
microsoft_gold

Power BI DAX Course Details

Price
$595
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 8
201 Charlotte Street
Brisbane QLD 4000
microsoft_gold

Power BI DAX Course Details

Price
$595
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 24/477 Pitt Street
Sydney
New South Wales 2000
microsoft_gold

Power BI DAX Course Details

Price
$595
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 7
79 George Street
Parramatta NSW 2150
microsoft_gold

Power BI DAX Course Details

Price
$595
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 12A
45 William Street Melbourne VIC 3000
microsoft_gold

Power BI DAX Course Details

Price
$595
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Ethos House
Level 1
28 Ainslie Place
Canberra ACT 2601
microsoft_gold

Power BI DAX Course Details

Price
$595
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 15
33 King William Street
Adelaide 5000
microsoft_gold

Power BI DAX Course Details

Price
$595
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
NEW LOCATION
Level 7
553 Hay Street
Perth WA 6000
microsoft_gold

Power BI DAX Course Details

Price
$595
Duration
1 day
Times
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
microsoft_gold

Power BI Course Outlines

  • Power BI Beginner
    $395
  • Power BI Intermediate
    $595
  • Power BI Advanced
    $595
  • Power BI DAX
    $595
  • PL-300 Power BI Certification
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What do I need to know to attend?

  • Use Power BI Desktop proficiently to source / model data and create basic tables, columns and measures with DAX
  • Understanding the basic concepts of data modelling and how to perform related tasks in Power BI
  • Have good general knowledge of simple DAX and understand the evaluation contexts (row, filter, context transition etc.)
  • Advanced Excel skills is desired, knowledge of programming / scripting concepts will be an advantage
  • Students should have attended our Power BI Advanced course.

Power BI DAX Learning Outcomes

  • Write expressions more confidently using DAX
  • Work with a wider range of DAX functions
  • Make use of tools to compliment creating and managing DAX

 

  • Create more complex expressions using methods to build and prove an outcome
  • Appreciate the concepts of data model and expression performance
  • Use techniques to optimise an expression for better efficiency

Power BI DAX Course Content

  • Course Introduction
  • What is DAX
  • DAX Functions
  • DAX Contexts
  • What is Vertipaq
  • DAX efficiency
  • DAX references
  • DAX best practices

 

  • Recap of Contexts
  • Introduction to Contexts
  • Recap of DAX Contexts
  • The Row Context
  • The Filter Context
  • Measures and Calculated Columns
  • Dataset for exercises – Computer Store sales
  • Filter and Row Context in a measure
  • The CALCULATE function
  • Context Transition
  • Filter Expressions of CALCULATE
  • Rules of Evaluation
  • CALCULATE and FILTER

 

  • Contexts in Calculated Columns
  • Introduction to Columns
  • Row Context in Calculated Columns
  • Filter Context in Calculated Columns
  • Relationships in Row Contexts
  • The RELATED function
  • The RELATEDTABLE function
  • Using RELATEDTABLE in a column
  • CALCULATED in row contexts
  • Row to Filter Context
  • Transformation Whiteboard
  • Exercise on row to filter contexts
  • Duplicates in the transformation
  • The LOOKUPVALUE function

 

  • Row Contexts in Measures
  • Introduction to Row Contexts
  • Row Contexts in Measures
  • Simple iterator in a measure
  • Row Context and a related table
  • Some more calculations exercise
  • Re-using measures
  • Implicit CALCULATE in a measure
  • An alternative approach using variables

 

  • Functions and FILTER
  • Introduction to DAX functions
  • Time Intelligence functions
  • Date (Dimension) tables
  • Using in-built TOTALYTD
  • Date modifier functions
  • Using date modifier DATESBETWEEN
  • Using date modifier DATESYTD
  • The magic behind Date Table functions
  • The case for simplicity – MAX or LASTDATE
  • Understanding the FILTER function
  • Contexts in the FILTER function
  • The filter context in functions
  • Naked column references
  • Simple filter expression
  • Comparing a value in the filter context
  • Adding another filter condition
  • The value of VALUES

 

  • Table Functions
  • Introduction to Table functions
  • Summarising tables
  • Using SUMMARIZE alone
  • The problem with SUMMARIZE
  • Using ADDCOLUMNS and SUMMARIZE
  • Using SUMMARIZECOLUMNS as a better alternative
  • A summary table in a measure

 

  • Practical DAX
  • Introduction to DAX calculations
  • Comparing functions – min/max and time intelligence
  • Debugging with DAX
  • Alternative patterns
  • The Quick Measure version
  • The KEEPFILTERS function
  • The TREATAS function
  • A few ORs or TREATAS
  • Using TREATAS and KEEPFILTERS
  • Using TREATAS for virtual relationships

 

  • DAX Tools
  • Use of third party tools
  • Introducing DAX Studio
  • What is DAX Studio
  • Download and Install DAX Studio
  • The DAX Studio Interface
  • How DAX Studio connects to the data
  • Viewing data model information
  • Creating a table query
  • Ordering a query result
  • A query returning a scalar
  • Defining a Measure
  • Declaring a variable
  • Incoming filter context

 

 

  • DAX Performance
  • Introduction to DAX Performance
  • The basics of the Vertipaq engine
  • Where is Vertipaq
  • A database of columns
  • Compression of a column
  • Identifying column compression
  • Understanding the TABLE_ID column
  • Power Query data statistics
  • Data Model Normalisation
  • Introduction to the Query Plan
  • Overview of the engines
  • The Formula Engine
  • The Storage Engine
  • Capturing a query
  • Special process to capture Power BI queries
  • Re-loading Power BI visuals
  • Understanding the query information from the capture

 

  • DAX Optimisation
  • Introduction to optimising DAX
  • Clear the Cache
  • Server Timings
  • Explaining the Server Timings
  • Steps to improve performance
  • Redefine a measure
  • The datacache
  • Optimisation by the Vertipaq engine
  • The CallBackDataID function
  • Reducing CallBackDataID instances
  • Optimising a Query in the Storage Engine
  • Viewing the Query Plan
  • Comparing two statistical functions

 

  • Extended Topics:
  • Table Joins
  • Introduction to Table Joins
  • The Inner Join
  • A join on unrelated tables – TREATAS
  • The Outer Join
  • The Cross Join Using
  • GENERATE for Joins

 

  • Nested Row Context
  • Introduction to Nested Rows
  • How Nested Rows work
  • The EARLIER function
  • The EARLIEST function
  • Create a nested row in a column
  • How to avoid complex nesting expressions
  • Using variables to store values before nesting
  • Avoid iterators where possible
  • Further improve the efficiency of an expression

 

  • Ranking
  • Introduction to Ranking
  • Arguments in RANKX
  • Create a calculated column for ranking
  • Sort order of ranking
  • Definitions when ranking ties
  • Breaking Ties Manually
  • Creating a measure for ranking
  • Adjustments to make the RANKX measure work

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