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Build a Data Model for Analysis in Power BI

 Various
 
4.0
Registration is Open
Price
$149.00 Regular Registration
This course is being offered on multiple dates, listed below. Click the Register button next to your preferred date to register.
 Tue, 07/01/2025 from 11:00 am to 3:00 pm
 Wed, 07/30/2025 from 2:00 pm to 6:00 pm
 Thu, 08/14/2025 from 10:00 am to 2:00 pm
 Wed, 08/20/2025 from 11:00 am to 3:00 pm
 Thu, 09/04/2025 from 9:30 am to 1:30 pm
 Wed, 09/17/2025 from 2:00 pm to 6:00 pm
 Fri, 10/03/2025 from 9:00 am to 1:00 pm
 Fri, 10/17/2025 from 9:00 am to 1:00 pm
 Wed, 11/05/2025 from 11:00 am to 3:00 pm
 Wed, 11/19/2025 from 2:00 pm to 6:00 pm
 Wed, 12/03/2025 from 2:00 pm to 6:00 pm
 Wed, 12/17/2025 from 12:00 pm to 4:00 pm
 Fri, 01/02/2026 from 1:00 pm to 5:00 pm
 Thu, 01/08/2026 from 2:00 pm to 6:00 pm
 Tue, 02/03/2026 from 11:00 am to 3:00 pm
 Fri, 02/27/2026 from 9:00 am to 1:00 pm
 Tue, 03/03/2026 from 11:00 am to 3:00 pm
 Tue, 03/31/2026 from 9:00 am to 1:00 pm
 Thu, 04/02/2026 from 1:00 pm to 5:00 pm
 Wed, 04/15/2026 from 2:00 pm to 6:00 pm
Designed For:

Anyone interested in mastering data modeling techniques using Microsoft Power BI.

Prerequisite:

Attended a Pivot Table course or experience using Pivot Tables

This intensive 4-hour course offers a deep dive into data modeling in Power BI, with a focus on Microsoft Excel's Power Pivot but applicable to Power BI Desktop. Designed for professionals looking to enhance their data analysis skills, the course covers the essential aspects of building robust, efficient data models. Participants will learn how to integrate different data sources, create meaningful relationships, and develop insightful metrics to drive business decisions.Participants will explore various aspects of data modeling such as establishing relationships, creating calculated columns, and understanding the intricacies of basic DAX (Data Analysis Expressions) measures. These skills are vital for anyone looking to extract meaningful insights from large and complex datasets.Attendees will be introduced to advanced concepts such as the strategic use of calculated columns versus measures, and the differentiation between explicit and implicit measures. This knowledge is crucial for developing sophisticated data models that not only provide accurate results but are also efficient in terms of performance. The course will also cover the creation and use of hierarchies and Key Performance Indicators (KPIs), essential for any robust data analysis framework. To ensure that the learning is well-rounded and applicable, the course includes practical exercises in using pivot tables within Power BI. This helps in validating and enhancing the measures and models created, ensuring they are robust and reliable for real-world application."Build a Data Model for Analysis in Power BI" is an essential course for professionals aiming to leverage the full potential of Power BI 's data model. Whether you're looking to streamline your data analysis process, enhance your reporting capabilities, or drive insightful business decisions, this course will equip you with the necessary skills and knowledge.This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.


Delivery Method: Individual webcast
CPE Credit: Computer software & applications
Program Level: Intermediate

This course is being offered by a 3rd party vendor and will not be accessible on your My CPE page. Webinar access information will be emailed directly to you by CPA Crossings.

The Virginia Society of CPAs (VSCPA) is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: NASBARegistry.org.

For more information regarding refund, complaint, program cancellation or other policies, visit our Registration Policies page or call (800) 733-8272.