This course will help you to stay current on recent changes to the AICPA Code of Professional Conduct, as well as keep you abreast of emerging trends in ethics standards and regulatory initiatives and their potential impact on your practice. We will also explore frequent practitioner ethics compliance challenges, including competence, due professional care, audit quality, and independence.
Learning 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.
Major Topics
Data Modeling Essentials</strong>: Understanding the core concepts of data modeling in Power BI, including integration of various data sources.
Building Relationships</strong>: Techniques to establish and manage relationships between different data sets.
Calculated Columns and Basic DAX Measures</strong>: Introduction to DAX (Data Analysis Expressions) and its application in creating calculated columns and basic measures.
Calculated Columns vs Measures</strong>: Insights into when to use calculated columns and when to opt for measures.
Explicit vs Implicit Measures</strong>: Understanding the difference and appropriate application of explicit and implicit measures in data analysis.
Hierarchies in Data</strong>: Creating and utilizing hierarchies to enhance data analysis and reporting.
Using Pivot Tables to Validate Measures</strong>: Practical skills in using pivot tables within Power BI to validate and refine measures.
CPE Credits Available
4 CPE
4
Computer Software & Applications
Things to Know About This Course
Course Level
Intermediate
Professional Area of Focus
Ethics
Prerequisites
Attended a Pivot Table course or experience using Pivot Tables
Advanced Preparation
Download the handout and practice material prior to course
Intended Audience
Anyone interested in mastering data modeling techniques using Microsoft Power BI.