Data Model Design using Power BI Desktop: Level 2

About this Course

What makes Power BI for such a vast improvement over simple Excel worksheets is the Power Query engine in both Power BI and Excel.  Power Query allows data to be pulled and transformed from multiple data sources. This course is designed for Report Builders who are ready to create custom data models for themselves and for other Power BI Report Users.

Prerequisites

Data Analysis using Power BI Desktop - Level 1 - Report Builder

Outline

Unit 1: Getting Started with Power Query

• Topic A: Overview of Power BI Query
• Topic B: Power Query Interface

Unit 2: Get Data from Data Sources

• Topic A: Identify and Connect to Data Sources
• Topic B: Change data source settings
• Topic C: Storage Modes (Import vs DirectQuery)
• Topic D: Dataverse

Unit 3: Prepare the Data

• Topic A: Building Master and Source Tables
• Topic B: Query Editor Transformations
• Topic C: Date Tables
• Topic D: Modeling View & Features

Unit 4: Model Data – Creating a Data Model

• DAX Measures
• Creating Measures
• Best Practices

Unit 5: DAX Calculated Columns and Measures

• Topic A: Review of Calculated Columns
• Topic B: Power BI Measures
• Topic C: Evaluation Context
• Topic D: Optimize model performance

Unit 6: Power BI Functions – M Language

• Topic A: Power BI Functions: M Language
• Topic B: Basic M Language Queries
• Topic C: M Language Syntax
• Topic D: Adding Columns