Data Transformation using Power Query Editor, Power BI Desktop

Transform and manage data with Power Query in Excel and Power BI Desktop

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

This 1-day course comprehensively explores the use of Power Query for working with the Data Model in both Excel 2016+ and Power BI Desktop. Power Query is a powerful data transformation tool that allows you to create and edit queries from various data sources. Learn how to use the Power Query Editor to perform data transformations, manage queries, and develop advanced transformation processes using M code.

Data Transformation using Power Query Editor, Power BI Desktop

Learn Power Query for Excel and Power BI Desktop in 1 day. Master data transformation, query management, and M code to optimise your data workflows.

$622
10 max
1 day
$622
10 max
1 day
$622
10 max
1 day
$622
10 max
1 day
$622
10 max
1 day
$622
10 max
1 day
$622
10 max
1 day
$622
10 max
1 day
$622
10 max
1 day

Remote East

Brisbane

Sydney

Parramatta

Melbourne

Canberra

Adelaide

Perth

Remote West

Upcoming Courses:
Remote East
Date
Course
City
Status
Wed 27 Nov 24
Wed
27
Nov
Power BI Data Transformation using Power Query
Remote East
Status: Few Seats
Few Seats
Fri 31 Jan 25
Fri
31
Jan
Power BI Data Transformation using Power Query
Remote East
Status: Scheduled
Scheduled
Fri 28 Feb 25
Fri
28
Feb
Power BI Data Transformation using Power Query
Remote East
Status: Scheduled
Scheduled
Thu 20 Mar 25
Thu
20
Mar
Power BI Data Transformation using Power Query
Remote East
Status: Scheduled
Scheduled
Brisbane

We currently have no public courses scheduled. Please contact us to register your interest.

Sydney

We currently have no public courses scheduled. Please contact us to register your interest.

Parramatta

We currently have no public courses scheduled. Please contact us to register your interest.

Melbourne

We currently have no public courses scheduled. Please contact us to register your interest.

Canberra
Date
Course
City
Status
Wed 27 Nov 24
Wed
27
Nov
Power BI Data Transformation using Power Query
Canberra
Status: Sold Out
Sold Out
Fri 31 Jan 25
Fri
31
Jan
Power BI Data Transformation using Power Query
Canberra
Status: Scheduled
Scheduled
Fri 28 Feb 25
Fri
28
Feb
Power BI Data Transformation using Power Query
Canberra
Status: Scheduled
Scheduled
Thu 20 Mar 25
Thu
20
Mar
Power BI Data Transformation using Power Query
Canberra
Status: Scheduled
Scheduled
Adelaide

We currently have no public courses scheduled. Please contact us to register your interest.

Perth

We currently have no public courses scheduled. Please contact us to register your interest.

Remote West

We currently have no public courses scheduled. Please contact us to register your interest.

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Data Transformation using Power Query Editor, Power BI Desktop Course Details

Price
$622
Duration
1 day
Times
9am-4pm
Class Size (max)
8
Class Size (avg)
6
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
microsoft_gold

Data Transformation using Power Query Editor, Power BI Desktop Course Details

Price
$622
Duration
1 day
Time
9am-4pm
Class Size (max)
8
Class Size (avg)
6
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

Data Transformation using Power Query Editor, Power BI Desktop Course Details

Price
$622
Duration
1 day
Time
9am-4pm
Class Size (max)
8
Class Size (avg)
6
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

Data Transformation using Power Query Editor, Power BI Desktop Course Details

Price
$622
Duration
1 day
Time
9am-4pm
Class Size (max)
8
Class Size (avg)
6
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

Data Transformation using Power Query Editor, Power BI Desktop Course Details

Price
$622
Duration
1 day
Time
9am-4pm
Class Size (max)
8
Class Size (avg)
6
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

Data Transformation using Power Query Editor, Power BI Desktop Course Details

Price
$622
Duration
1 day
Time
9am-4pm
Class Size (max)
8
Class Size (avg)
6
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
NEW LOCATION
Level 2
221 London Circuit
Canberra ACT 2600
microsoft_gold

Data Transformation using Power Query Editor, Power BI Desktop Course Details

Price
$622
Duration
1 day
Time
9am-4pm
Class Size (max)
8
Class Size (avg)
6
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

Data Transformation using Power Query Editor, Power BI Desktop Course Details

Price
$622
Duration
1 day
Time
9am-4pm
Class Size (max)
8
Class Size (avg)
6
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 7
553 Hay Street
Perth WA 6000
microsoft_gold

Data Transformation using Power Query Editor, Power BI Desktop Course Details

Price
$622
Duration
1 day
Times
9am-4pm
Class Size (max)
8
Class Size (avg)
6
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
  • Power BI Desktop Advanced Reporting
    $622
  • Power BI Data Transformation using Power Query
    $622
  • Data Visualisation with Power BI Desktop
    $622
  • PL-300 Power BI Certification

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What do I need to know to attend?

There are no formal prerequisites, but this course is suitable for intermediate Excel users. Power Query knowledge is recommended for those heavily involved in data preparation or correction, especially when using Power BI Desktop.

Data Transformation using Power Query Editor, Power BI Desktop Learning Outcomes

Upon completion of this course you will be able to:

  • Assess and manipulate data for use within the Data Model in Excel and Power BI Desktop
  • Understand M syntax, definitions, and objects to develop advanced transformation processes
  • Utilise a variety of operations and functions within M
  • Create and invoke parameterised queries as custom functions

Data Transformation using Power Query Editor, Power BI Desktop Course Content

  • The Data Model and Power Query Editor
  • Understanding the Data Model in Excel 2016+ and Power BI Desktop
  • Creating queries from different data sources: SQL databases, Web pages, Excel spreadsheets, and text files
  • Overview of the Power Query Editor and its interface
  • Beginning Operations in Power Query Formula Language
  • Performing basic data and table transformations
  • Adding and removing calculated custom columns
  • Sorting, filtering, and replacing values within data
  • Query Management Techniques
  • Merging, renaming, and appending queries
  • Grouping data within queries for analysis
  • Managing and organising multiple queries
  • Working with M Functions
  • Introduction to M functions: Text, Date, Time, List Generators
  • Using the Column from Examples feature for custom column creation
  • Creating and managing custom column functions
  • Using blank queries and List Generator functions for advanced transformations
  • Learning Power Query Formula Language Syntax
  • Navigating the Advanced Editor for M code editing
  • Understanding and writing Power Query Formula Language (M)
  • Practical exercises in editing M code for complex transformations
  • Creating and Using Parameterised Custom Functions
  • Turning a query into a parameter-based custom function
  • Invoking custom functions within the Power Query Editor
  • Practical applications of parameterised functions in data workflows

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