Build a Data Model for Analysis in Power BI WEBINAR
Overview
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. 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. 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 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. 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.
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.
Prerequisites
Attended a Pivot Table course or experience using Pivot Tables.
Designed For
Anyone interested in mastering data modeling techniques using Microsoft Power BI.
Objectives
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.
Preparation
Download the handout and practice material prior to course.
Notice
None.
Leader(s):
Leader Bios
Bryan Smith, CPA Crossings LLC
Bryan L. Smith, CPA, CITP, CISA is the co-founder of CPA Crossings in Rochester, MI. He is a CPA with a strong background in information technology and serves as a virtual CIO to CPA firms and professional organizations. He specializes in the planning and deployment of effective technology solutions. Bryan and John Higgins recently authored Ten Steps to a Digital Practice in the Cloud, which has been published by the AICPA. Bryan helps firm leaders understand the opportunities associated with deploying information technology to improve productivity, enhance client services, and increase profitability. He uses his extensive knowledge and experience to help CPAs bridge the gap between business and technology. He is a past chair of the Michigan Association of CPAs Information Technology Committee and the Leadership Committee.
Non-Member Price $199.00
Member Price $149.00