Data Model Design using Power BI Desktop – Level 2
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 receive an introduction to the M Language as well as Data Analytic expressions (DAX).
Course Information
Price:
Duration:
Certification:
Exam:
Continuing Education Credits:
Learning Credits:
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
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Prerequisites:
Data Analysis using Power BI Desktop – Level 1 – Report Builder
Target Audience:
This course is designed for Report Builders who are ready to create custom data models for themselves and for other Power BI Report Users.
Course Objectives:
- Understand BI Data
- Create Data Models
- Customize Data Models
- Understand Power BI Functions – DAX Measures
- Use Dates Correctly
Course Outline:
Lesson 1: Understanding Power BI Data Queries
Overview of Power BI Queries
Power Query
Data Sources
Lesson 2: Creating and Transforming Data Models
- Understanding a Basic Data Model
- Creating the Initial Data Query
- Converting Raw Data into a Data Model
Lesson 3: Data Transformations
- Query Editor Transformations
- Altering the Data
- Creating new Data
- Refreshing Data
Lesson 4: Accessing Additional Data Sources
- Using an Access database
- Creating a Hybrid Data Model
- Working with Data
Lesson 5: DAX Calculated Columns and Measures
- Review of Calculated Columns
- Power BI Measures
- Evaluation Context
- Optimize Model Performance
- Date Tables
Lesson 6: Introduction to the M Language
- Power BI Functions: M Language
- M Language Syntax
- Adding Columns
Appendices
- Storage Modes (Import vs DirectQuery)
- Dataverse
- Power Query and Query folding
