Microsoft Power BI Data Analyst (PL-300)

Course 8574

  • Duration: 3 days
  • Language: English
  • Level: Intermediate

This Power BI training course will discuss the various methods and best practices in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from various data sources, including relational and non-relational data. This course will also explore implementing proper security standards and policies across the Power BI spectrum, including datasets and groups. The course will also discuss managing and deploying reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Power BI Training Delivery Methods

  • In-Person

  • Online

Power BI Training Course Benefits

Learn how to ingest, clean, transform, and model data

Model data for performance and scalability

Design and create paginated reports to analyze data with Power BI

Apply and perform advanced report analytics

Manage and share report assets

Create paginated reports in Power BI

Follow a curriculum based on Microsoft Official Courseware

Continue learning and face new challenges with after-course one-on-one instructor coaching

Power BI Training Course Outline


This course utilizes SQL Server/PowerBI.


You can gain the prerequisites and a better understanding of working with data in Azure by completing Learning Tree Course 8566, Microsoft Azure Fundamentals Training (AZ-900T00)

Additionally, you should have experience with Power Platform at the level of Learning Tree Course 8571, Microsoft Azure Fundamentals Training (AZ-900T00)

Who Should Attend This Course

The audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises.

Successful Data Analysts start this role with experience in working with data in the cloud. Specifically:

  • Understanding core data concepts
  • Knowledge of working with relational data in the cloud
  • Knowledge of working with non-relational data in the cloud
  • Knowledge of data analysis and visualization concepts

Exam information

In this module, you'll learn: 

  • Data Analytics and Microsoft
  • Explore the different roles in data
  • Identify the tasks that are performed by a data analyst
  • Describe the Power BI landscape of products and services
  • Getting Started with Power BI

Lab: Getting Started

  • Use the Power BI service

In this module, you'll learn how to: 

  • Get data from various data sources
  • Optimize performance
  • Resolve data errors 
  • Identify and retrieve data from different data sources
  • Understand the connection methods and their performance implications

Lab: Preparing Data in Power BI Desktop

  • Use Microsoft Dataverse
  • Connect to a data flow

In this module, you'll learn how to:

  • Apply data shape transformations
  • Enhance the structure of the data
  • Profile and examine the data

Lab: Transforming and Loading Data

In this module, you'll learn how to:

  • Understand the basics of data modeling
  • Working with tables
  • Implement Dimensions and Hierarchies

Lab: Data Modeling in Power BI Desktop

  • Create and Define Model Relationships and their cardinality
  • Configure Tables
  • Review the model interface
  • Create Quick Measures
  • Create histograms and rankings

Lab: Advanced Data Modeling in Power BI Desktop

  • Configure many-to-many relationships
  • Enforce row-level security

In this module, you'll learn how to:

  • Understand DAX and DAX context
  • Use DAX for simple formulas and expressions

Lab: Introduction to DAX in Power BI Desktop

  • Use the CALCULATE() function to manipulate filter context
  • Work with Time Intelligence and Key Performance Indicators

Lab: Advanced DAX in Power BI Desktop

  • Create calculated tables and measures
  • Create calculated columns
  • Create and build simple measures
  • After completing this module, you will be able to:

In this module, you'll learn how to:

  • Understand the importance of variables
  • Optimize the model for performance
  • Optimize DirectQuery Models
  • Optimize the storage model
  • Create and manage Aggregations

In this module, you'll learn how to:

  • Design a report page layout
  • Enhance the report with effective visualizations
  • Add basic report functionality
  • Add report navigation and interactions
  • Improve report performance
  • Design for accessibility 

Lab: Designing a report in Power BI

  • Create a live connection in Power BI Desktop
  • Design a report
  • Configure visual fields and format properties

Lab: Enhancing Power BI reports with interaction and formatting

  • Create and configure Sync Slicers
  • Create a drillthrough page
  • Apply conditional formatting
  • Create and use Bookmarks

In this module, you'll learn how to:

  • Create a Dashboard
  • Understand real-time Dashboards
  • Enhance Dashboard usability

Lab: Designing a report in Power BI Desktop - Part 1

  • Pin visuals to a Dashboard
  • Configure a Dashboard tile alert
  • Use Q&A to create a dashboard tile

In this module, you'll learn how to:

  • Explain paginated reports
  • Create Paginated reports

Lab: Creating a Paginated report

  • Use Power BI Report Builder
  • Design a multi-page report layout
  • Create and configure a data source and dataset
  • Work with charts and tables
  • Create a report parameter
  • Export a report to PDF

In this module, you'll learn how to:

  • Explore statistical summary with Advanced Analytics
  • Use the Analyze feature to gain Data Insights through AI visuals

Lab: Data Analysis in Power BI Desktop

  • Create animated scatter charts
  • Use the visual to forecast values
  • Identify outliers in data
  • Conduct time-series analysis
  • Use the AI visuals
  • Use the Advanced Analytics custom visual
  • Work with Decomposition Tree visual
  • Work with the Key Influencers visual

In this module, you'll learn how to:

  • Create and work with parameters
  • Manage datasets
  • Configure dataset refresh
  • Troubleshoot gateway connectivity
  • Understand the aspects of Power BI security
  • Configure row-level security roles and group memberships

In this module, you'll learn how to:

  • Creating Workspaces
  • Sharing and Managing Assets
  • Create and manage a workspace

Lab: Publishing and Sharing Power BI Content

  • Map security principals to dataset roles
  • Share a dashboard
  • Understand workspace collaboration
  • Monitor workspace usage and performance
  • Publish and Distribute an App

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Power BI Training FAQs

Yes, this course is a requirement to be Microsoft Certified: Data Analyst Associate.

Yes, the Microsoft DA-100 Certification replaced the Microsoft 20778 certification, and the Learning Tree course 8574: Analyzing Data with Power BI Training (DA-100) replaced the Learning Tree course 8430: Analyzing Data with Power BI Training (20778)

Yes! On February 28, 2022, the Microsoft Certified: Data Analyst Associate certification was renamed to Microsoft Certified: Power BI Data Analyst Associate (PL-300) and with that, we updated our Microsoft Power BI Data Analyst (PL-300) as well.

The PL-300, Microsoft Certified: Power BI Data Analyst Associate, is focused on skills in preparing, modeling, visualizing, and analyzing data to maximize value for an organization.

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