Online Training

Power BI Dax

Your key to advanced data calculations

30-31 October 2024

9:00 AM - 12:30 PM AEDT

Next intake: 30-31 October 2024 | 9:00 AM - 12:30 PM AEDT

Overview

DAX (Data Analysis Expressions) is the calculation language of Power BI. DAX enriches existing data, enabling you to perform sophisticated data analysis. It has the power to unlock insights that would not be possible by just dragging values into visuals.  

This course will enable participants to enhance existing data models and perform advanced data analysis. Mastering DAX will allow participants to uncover insights and trends that are not easily accessible through basic data manipulation. The course covers a wide range of topics from the basics of DAX to advanced filtering and time series intelligence, ensuring a thorough grasp of DAX functionality. 

Participants will also learn to use DAX tools like DAX Studio and DAX Formatter to debug and optimize their queries, making their Power BI reports more efficient and effective. The skills gained from this course will empower attendees to leverage the full power of DAX, making their data analysis more robust and insightful, ultimately leading to better data-driven decisions. 

Who Should Attend?

Professionals from diverse backgrounds who require advanced data analysis skills in their roles
Advanced Excel users who create reports
Data and Business Analysts
Local Data Gurus
All corners of government - Federal, State & Local

Learning Outcomes

Understand the syntax and wide range of functions in DAX
Optimise data models and reporting capabilities in Power BI
Perform sophisticated time series analyses and manipulate data context and refine analysis
Utilise DAX tools like DAX Studio and DAX Formatter

Online Training

Power BI Dax


Session details

  • Uncover insights that basic data manipulation cannot reveal 
  • Build more efficient and effective data models using calculated columns, measures, and advanced filtering techniques 
  • Gain skills to create more informative and visually appealing Power BI reports that provide significant value to stakeholders 
View course modules

Level: Advanced

Familiarity with the topic is required

Key Sessions

  • DAX and the data model
  • Star Schema & Relationship Cardinality
  • Columnar storage and the Power BI Engines

  • Data types & Operators
  • Creating a Fiscal Calendar
  • Variables and Comments
  • Date Functions & Text Functions
  • Logical Functions (IF & SWITCH)

  • Evaluation Context
  • Organising Measures in a measures table
  • Testing Measures

  • Error Handlers (ISERROR, IFERROR)
  • Working with Query View / DAX Studio
  • EVALUATE and DEFINE MEASURE

  • VALUES, ALL & ALLEXECPT
  • SUMMARISE & SUMMARISECOLUMNS
  • FILTER

  • SUM vs SUMX
  • RELATED and RELATEDTABLE
  • AVERAGEX
  • CONCATENATEX

  • Understanding CALCULATE
  • Applying multiple filter criteria
  • Context Transition

  • KEEPFILTERS
  • ALL & REMOVEFILTERS
  • Calculation Sequence
  • Activating inactive relationships (USERELATIONSHIP)

  • Running Totals with TOTALYTD & DATESYTD
  • Year-on-Year / Month-on-Month Comparisons

Meet Your Facilitator

Nicky Bull

Nicky Bull

Corporate Consultant | Blue Chameleon

Nicky Bull is a dynamic corporate trainer and consultant.  She has 15 years of commercial experience as a computer programmer and analyst, and over ten years designing and delivering a range of educational programs. She lectures accounting students at Macquarie University and is the creator of the highly acclaimed Excel for Data Analytics Specialisation on the Coursera platform.  

 Nicky is passionate about learning and enabling people to use technology confidently and effectively in their workplace.  She holds a BSc Hons in Computer Science, a BA in English Literature, and a Postgraduate Certificate in Education. 

Register Today

Join this training for professionals working within the Public Sector

Pay for individual courses

Regular

Ends 29 Oct

$A 1195

per person + tax

Additional discounts are available for group registrations of 10 or more. For group or payment enquiries or custom training solutions, please contact [email protected]

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