Data Model Design using Power BI Desktop – Level 2

Description

Overview:

This is the second course in TLG Learning’s custom Power BI Desktop series. Using fundamental concepts of Self-Service Data Model Design, students will use Power Query to extract, transform, and load data to create manageable and scalable data models.

This course is designed for Report Builders who are ready to create custom data models. Students will also be receive an introduction to the M Language as well as Data Analytic eXpressions (DAX).

Prerequisite(s):

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

Audience:

Outline:

Lesson 1: Getting Started with Power Query

• Overview of Power BI Query
• Power Query Interface

Lesson 2: Get Data from Data Sources

• Identify and Connect to Data Sources
• Change data source settings
• Storage Modes (Import vs DirectQuery)
• Dataverse

Lesson 3: Prepare the Data

• Building Master and Source Tables
• Query Editor Transformations
• Date Tables
• Modeling View & Features

Lesson 4: Model Data – Creating a Data Model

• DAX Measures
• Creating Measures
• Best Practices

Lesson 5: DAX Calculated Columns and Measures

• Review of Calculated Columns
• Power BI Measures
• Evaluation Context
• Optimize model performance

Lesson 6: Power BI Functions – M Language

• Power BI Functions: M Language
• Basic M Language Queries
• M Language Syntax
• Adding Columns