Build a Data Model for Analysis in Power BI

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.

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.
• 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.