Using DAX in Power BI Training in New Zealand

  • Learn via: Classroom
  • Duration: 2 Days
  • Level: Intermediate
  • Price: From €3,477+VAT
We can host this training at your preferred location. Contact us!

This course will provide you with the knowledge and skills to write DAX expressions to aid the development of models within Power BI Desktop.

Target audience

  • Anyone who will be creating Power BI Desktop models.
  • The course is aimed at both non-technical 'power users' and IT Professionals who will be creating models.

Delegates attending this course should have a thorough knowledge of Power BI Desktop. This can be gained by attending QAPBIDESK or QAPBIDT3.

Virtual Classroom

For learners attending remotely via any virtual classroom, an additional screen is required for this course to work through remote desktop labs and view training information. A remote Desktop will be provided using GoToMyPC or LearnOnDemand.

The additional screen must have a minimum screen size of 19 inch and minimum resolution of 1280x1024, with the vertical resolution (1024) being the most critical.

If you have questions,contact our Virtual team.

Module 1: Overview
This module provides essential background information on the use of DAX within Microsoft products. The module outlines the uses of DAX within the Power BI model for calculating columns, measures and tables

Lab :

  • Installing Power BI Desktop
  • Reviewing the existing model


Module 2: Basics and Aggregations
This module shows how to create basic calculations for columns and measures using DAX. The functions used in the module include SUMX, DISTINCTCOUNT, DIVIDE, CALCULATE, SUMMARIZE. VAR and RETURN are also used.

Lab :

  • Creating calculated columns
  • Creating measures

Module 3: Working with dates and times
This module describes how to create a date / calendar table and the uses that table to create time intelligence calculations. The functions used in the module include CALENDAR, CALENDARAUTO, YEAR, MONTH, FORMAT, DATEDIFF, DATEADD, SAMEPERIODLASTYEAR, PARALLELPERIOD, ADDCOLUMNS, TOTALYTD, and DATESINPERIOD.

Lab A:

  • Creates a date / calendar table using DAX

Lab B:

  • Calculates delays of sales
  • Calculates percentage delays over all orders
  • Calculates year to date and year-on-year metrics
  • Calculates period-based metrics (average for last 3 months)

Module 4: Relational
This module describes how to use relational functions. The functions used in this module include RELATED, RELATEDTABLE, USERELATIONSHIP and LOOKUPVALUE.

Lab :

  • Calculate costings using related tables
  • Enhance an existing table with total sales and then adding sales ranges
  • Show sales by delivery date using USERELATIONSHIP

Module 5: Filtering
This module describes how to use various filtering functions to add intelligence to the measures within the Power BI Desktop model. The functions used in this module include ALL, ALLEXCEPT, ALLSELECTED, FILTER, HASONEVALUE, VALUES, SELECTEDVALUES, and ISFILTERED.

Lab :

  • Calculate percentage of all time for sales
  • Calculate percentage within a group
  • Calculate percentage of selected items

Module 6: Ranking and Positional
This module describes how to TOPN and RANKX to calculate and present positional information.

Lab :

  • Calculate a Reseller rank for 2019
  • Calculate a Reseller for all time
  • Calculate a regional ranking for Resellers
  • Calculate and implement a dynamic TOPN with slicers

Module 7: Parent and Child
This module describes how to navigate and present a tree-structures parent and child table using Power BI Desktop and DAX. The module uses PATH, PATHITEM, PATHCONTAINS, PATHLENGTH and LOOKUPVALUE.

Lab :

  • Calculate the number of direct reports for each member of staff
  • Calculate the sales staff path
  • Add levels within the sales hierarchy
  • Add logic to hide or show levels within the hierarchy



Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
19 December 2024
Auckland, Wellington, Christchurch
€3,477 +VAT Book Now
Classroom / Virtual Classroom
08 January 2025
Auckland, Wellington, Christchurch
2 Days
Classroom / Virtual Classroom
15 January 2025
Auckland, Wellington, Christchurch
€3,477 +VAT Book Now
Classroom / Virtual Classroom
19 December 2024
Auckland, Wellington, Christchurch
€3,477 +VAT Book Now
Classroom / Virtual Classroom
08 January 2025
Auckland, Wellington, Christchurch
2 Days
Classroom / Virtual Classroom
15 January 2025
Auckland, Wellington, Christchurch
€3,477 +VAT Book Now
Classroom / Virtual Classroom
26 February 2025
Auckland, Wellington, Christchurch
€3,477 +VAT Book Now
Classroom / Virtual Classroom
26 February 2025
Auckland, Wellington, Christchurch
€3,477 +VAT Book Now
Using DAX in Power BI Training Course in New Zealand

New Zealand is an island country in the southwestern Pacific Ocean and it consists of two main islands and 700 smaller islands. Two main islands are the North Island and the South Island. The capital city of New Zealand is Wellington and the most popular city of the island country is Auckland. English, Māori and New Zealand Sign Language are the official languages of New Zealand. As of January 2022, the population of the country is about 5,138,120. 70% of the population are of European descent, 16.5% are indigenous Māori, 15.1% Asian and 8.1% non-Māori Pacific Islanders.

Since most of the country lies close to the coast, mild temperatures are observed year-round. January and February are the warmest months while July is the coldest month of the year. Fiordland, the first national park of New Zealand Tongariro

Unlock your potential in IT through our extensive selection of courses, which include programming, software development, data science, business skills, and cybersecurity. Our adept instructors will provide you with hands-on training and practical perspectives, all conveniently hosted at your desired location within New Zealand.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.