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Please note that this webinar Is from a third party vendor, CPA Crossings. We strongly recommend registering no later than one-hour before the webinar begins. Please contact CPA Crossings webinar hotline if you do Not receive your webinar invitation via email within five minutes after registering:  877-370-2220 ext. 1. Thank you.

Date(s):

05/21/2025

Registration Open:

12:00 AM - 8:00 AM

Time:

8:00 AM - 12:00 PM

Facility:

Online

Meeting Type:

Webinars

CPE Credit:

4.00

Field(s) Of Study:

Computer Software and Applications (4.00)

Level of Knowledge:

Intermediate

Price:

Member: $149.00
Nonmember: $169.00

Individual Discounts:

Not Available

Overview

After attending this presentation you will be able to ...

  • Apply advanced DAX formulas in Power BI to create dynamic and efficient data measures tailored to specific business needs.
  • Determine the most effective time-intelligent functions in DAX for analyzing temporal data trends and patterns in Power BI.
  • Identify key differences between common DAX functions and their use cases, enabling more strategic and informed decision-making in Power BI measure creation.
  • Choose the appropriate DAX calculation processes for validating and ensuring the accuracy of measures in various data scenarios.
  • Use PivotTables in Power BI to validate and test the effectiveness of DAX measures, enhancing the reliability of data analysis.

Highlights

The major topics that will be covered in this class include:

  • Introduction to DAX: Understanding the fundamentals of DAX and its role in Power BI.
  • Advanced DAX Formulas: Delving into complex DAX functions and formulas for creating sophisticated measures.
  • Time Intelligence in DAX: Exploring time-based functions to analyze data over different periods.
  • Validating Measures with DAX: Techniques for ensuring accuracy and reliability in your DAX measures.
  • Using PivotTables for Measure Validation: Employing PivotTables in Power BI to test and confirm the effectiveness of DAX measures.

Prerequisites

Attended the "Build a Data Model for analysis in Power BI" course or equivalent