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.
DESIGNED FOR
Anyone interested in mastering data modeling techniques using Microsoft Power BI.
BENEFITS
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
HIGHLIGHTS
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.
COURSE LEVEL
Intermediate
PREREQUISITES
Attended a Pivot Table course or experience using Pivot Tables
ADVANCE PREPARATION
Download the handout and practice material prior to course