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Build a Data Model for Analysis in Power BI

Overview

This course will be available for 90 days from your date of purchase. 

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.

Prerequisites

Attended a Pivot Table course or experience using Pivot Tables

Objectives

After attending this presentation, you will be able to:

  • Apply fundamental principles of data modeling in Power BI to integrate various data sources effectively.
  • Determine the most appropriate scenarios for using calculated columns versus measures in Power BI data analysis.
  • Choose and implement the correct type of DAX measures (explicit or implicit) for specific data modeling needs.
  • Use pivot tables in Power BI to validate and refine data measures, ensuring accuracy and reliability in reporting.

Highlights

  • Data Modeling Essentials: Understanding the core concepts of data modeling in Power BI, including integration of various data sources.
  • Building Relationships: Techniques to establish and manage relationships between different data sets.
  • Calculated Columns and Basic DAX Measures: Introduction to DAX (Data Analysis Expressions) and its application in creating calculated columns and basic measures.
  • Calculated Columns vs Measures: Insights into when to use calculated columns and when to opt for measures.
  • Explicit vs Implicit Measures: Understanding the difference and appropriate application of explicit and implicit measures in data analysis.
  • Hierarchies in Data: Creating and utilizing hierarchies to enhance data analysis and reporting
  • Using Pivot Tables to Validate Measures: Practical skills in using pivot tables within Power BI to validate and refine measures.

Register Now

Materials are generally available 3 days in advance of an event. Once you have downloaded the manual, we are unable to cancel your registration.

Event Code:

RCPE785

4 CPE Credits
Computer Software & Applications: 4 Credits

Registration

Member Price:
$129
Non-member Price:
$169

Instructor

Bryan Smith