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
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.
Major Topics
The major topics that will be covered in this class include:
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
CPE Credits Available
4 CPE Credits
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.