Design and Manage Analytics Solutions Using Power BI (PL-300) Virtual Classroom Live May 19, 2026

Course Overview

1 - Discover data analysis

• Overview of data analysis
• Roles in data
• Tasks of a data analyst

2 - Get started building with Power BI

• Use Power BI
• Building blocks of Power BI
• Tour and use the Power BI service

3 - Introduction to end-to-end analytics using Microsoft Fabric

• Explore end-to-end analytics with Microsoft Fabric
• Explore data teams and Microsoft Fabric
• Enable and use Microsoft Fabric
• Module assessment

4 - Get started with Copilot in Power BI

• Use Copilot in Power BI to prepare and model data
• Create reports with Copilot in Power BI
• Get your data ready for AI usage in Power BI
• Module assessment

5 - Get data in Power BI

• Get data from files
• Get data from relational data sources
• Create dynamic reports with parameters
• Get data from a NoSQL database
• Get data from online services
• Select a storage mode
• Get data from Azure Analysis Services
• Fix performance issues
• Resolve data import errors

6 - Clean, transform, and load data in Power BI

• Shape the initial data
• Simplify the data structure
• Evaluate and change column data types
• Combine multiple tables into a single table
• Profile data in Power BI
• Use Advanced Editor to modify M code

7 - Choose a Power BI model framework

• Describe Power BI model fundamentals
• Determine when to develop an import model
• Determine when to develop a DirectQuery model
• Determine when to develop a composite model
• Choose a model framework
• Module assessment

8 - Configure a semantic model

• Configure relationships
• Configure tables
• Configure columns
• Configure hierarchies
• Configure measures
• Configure parameters

9 - Write DAX formulas for semantic models

• Understand DAX calculation types
• Write DAX formulas
• DAX data types
• Work with DAX functions
• Use DAX operators
• Use DAX variables

10 - Create DAX calculations in semantic models

• Create calculated tables
• Create calculated columns
• Understand implicit measures
• Create explicit measures
• Use iterator functions

11 - Use DAX time intelligence functions in semantic models

• Use DAX time intelligence functions
• Additional time intelligence calculations

12 - Create visual calculations in Power BI Desktop

• Understand visual calculations
• Create visual calculations
• Use parameters in visual calculations
• Module assessment

13 - Optimize a model for performance in Power BI

• Describe semantic model optimization techniques
• Review performance of measures, relationships, and visuals
• Use variables to improve performance and troubleshooting
• Reduce cardinality
• Optimize DirectQuery models with table level storage
• Create and manage aggregations

14 - Scope report design requirements

• Identify the audience
• Determine report types
• Define user interface requirements
• Define user experience requirements
• Explore designs in a Power BI report

15 - Design Power BI reports

• Design the analytical report layout
• Design visually appealing reports
• Use report objects
• Select report visuals
• Apply filters and slicers to reports
• Understand filtering techniques and considerations
• Case study - Configure report filters based on feedback

16 - Enhance Power BI report designs for the user experience

• Design reports to show details
• Design reports to highlight values
• Design reports that behave like apps
• Work with bookmarks
• Design reports for navigation
• Work with visual headers
• Design reports with built-in assistance
• Tune report performance
• Optimize reports for mobile use

17 - Perform analytics in Power BI

• Explore statistical summary
• Identify outliers with Power BI visuals
• Group and bin data for analysis
• Apply clustering techniques
• Conduct time series analysis
• Use the Analyze feature
• Create what-if parameters
• Use specialized visuals

18 - Manage workspaces in Power BI service

• Understand Power BI service
• Understand workspaces
• Publish to Power BI service

19 - Manage semantic models in Power BI

• Use a Power BI gateway to connect to on-premises data sources
• Configure a semantic model scheduled refresh
• Configure incremental refresh settings
• Manage and promote semantic models
• Boost performance with query caching (Fabric or Premium capacity)
• Use lineage and impact analysis

20 - Choose a content distribution method

• Understand sharing models
• Create a Power BI app
• Apply data governance principles
• Track report or dashboard usage

21 - Create dashboards in Power BI

• Configure data alerts
• Explore data by asking questions
• Review Quick insights
• Add a dashboard theme
• Pin a live report page to a dashboard
• Set mobile view

22 - Secure data access in Power BI

• Configure row-level security with the static method
• Configure row-level security with the dynamic method
• Use single sign-on (SSO) for DirectQuery sources
• Restrict access to Power BI model objects

Prerequisites

• 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.
• Microsoft Azure Data Fundamentals is recommended (KT-DP-900T00)