Create Measures in Power BI that Define Your Metrics
Wednesday, April 9, 2025
8 a.m.-noon Central
4 CPE (4 non-technical)
Course code: 25WX-0120
View pricing
Online registration is not available due to server maintenance.
Please call 952-831-2707 between 7:30 a.m. and 4:30 p.m. Central to register.
Unlock the full potential of your data with our specialized course, "Create Measures in Power BI that Define Your Metrics". Designed for professionals who aspire to excel in the dynamic world of data analysis, this 4-hour intensive training delves deep into the advanced functionalities of Microsoft Power BI. You'll embark on a journey to master the art of Data Analysis Expressions (DAX), a powerful tool in the Power BI suite to create metrics. This course is meticulously crafted to transform you into a proficient user, capable of harnessing complex DAX calculations to bring your data to life. The course content is thoughtfully structured to ensure a comprehensive learning experience. Starting with the foundational elements of DAX, you'll rapidly progress to tackle advanced formulas and time-intelligent functions, essential for nuanced data analysis. The highlight of the course is the emphasis on the DAX calculation process, a crucial aspect for validating measures in Power BI. Additionally, the practical application of PivotTables for measure validation will equip you with the skills to confirm the accuracy and effectiveness of your data measures. These advanced techniques are not just theoretical concepts but are presented through engaging, real-world scenarios, enabling you to apply your learning immediately to your daily tasks. This course is an invaluable step towards mastering Power BI and making data-driven decisions with confidence. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Major subjects
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Introduction to DAX: Understanding the fundamentals of DAX and its role in Power BI.
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Advanced DAX Formulas: Delving into complex DAX functions and formulas for creating sophisticated measures.
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Time Intelligence in DAX: Exploring time-based functions to analyze data over different periods.
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Validating Measures with DAX: Techniques for ensuring accuracy and reliability in your DAX measures.
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Using PivotTables for Measure Validation: Employing PivotTables in Power BI to test and confirm the effectiveness of DAX measures.
Learning objectives
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Apply advanced DAX formulas in Power BI to create dynamic and efficient data measures tailored to specific business needs.
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Determine the most effective time-intelligent functions in DAX for analyzing temporal data trends and patterns in Power BI.
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Identify key differences between common DAX functions and their use cases, enabling more strategic and informed decision-making in Power BI measure creation.
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Choose the appropriate DAX calculation processes for validating and ensuring the accuracy of measures in various data scenarios.
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Use PivotTables in Power BI to validate and test the effectiveness of DAX measures, enhancing the reliability of data analysis.
Who should take this program?
- Data analysts, business intelligence professionals, and anyone looking to enhance their skills in creating and validating measures using DAX in Power BI.
Pricing
Standard Member Fee |
$149.00
|
Standard Nonmember Fee |
$149.00
|
Our records indicate
you are a
nonmember.
If you register, you will be charged
$149.00
(Standard Nonmember Fee).
Members: Please
log in
to receive member fee.
Online registration is not available due to server maintenance.
Please call 952-831-2707 between 7:30 a.m. and 4:30 p.m. Central to register.
Instructor
Bryan Smith, CPA, CITP, CISA
Location
Online
Area
of study
Information technology
Field(s)
of study
Computer Software & Applications - Non-Technical (4.0)
Level
Intermediate
Format
Group Internet Based
Sponsor
NASBA ID#: 108744
Prerequisites
Prereq.
Attended the "Build a Data Model for analysis in Power BI" course or equivalent
Advance
prep
None
Cancellation
policy
Receive a full refund if you cancel at least four business
days before the event start date.
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