Microsoft

Microsoft Power BI Data Analyst PL-300

  • 9 upcoming dates 5 open for booking
  • $2,495 per seat

Upcoming dates

Dates Where Status Seat Book
Sep 28–30 2026 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495
Oct 6–9 2026 Live Online 9:00 AM to 4:00 PM PT Scheduled $2,495
Oct 19–22 2026 Live Online 9:00 AM to 4:00 PM PT Scheduled $2,495
Oct 28–30 2026 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495
Nov 17–20 2026 Live Online 9:00 AM to 4:00 PM PT Scheduled $2,495
Nov 30 to Dec 2 2026 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495
Dec 9–11 2026 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495
Dec 21–24 2026 Live Online 9:00 AM to 4:00 PM PT Scheduled $2,495
Jan 4–6 2027 Live Online 6:00 AM to 2:00 PM PT Confirmed to run Partner led $2,495

See every class on the schedule

About this class

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. Students will learn how to access and process data from a range of data sources including both relational and non-relational data. They will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. Next, students will discuss how to manage and deploy 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.

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

What you'll be able to do

  • Discover data analysis
  • Get started building with Power BI
  • Introduction to end -to -end analytics using
  • Get started with Copilot in Power BI
  • Get data in Power BI
  • Clean, transform, and load data in Power BI
  • Choose a Power BI model framework
  • Configure a semantic model
  • Write DAX formulas for semantic models
  • Create DAX calculations in semantic models
  • Use DAX time intelligence functions in semantic
  • Create visual calculations in Power BI Desktop
  • Optimize a model for performance in Power BI
  • Scope report design requirements
  • Design Power BI reports
  • Enhance Power BI report designs for the user
  • Perform analytics in Power BI
  • Manage workspaces in Power BI service
  • Manage semantic models in Power BI
  • Choose a content distribution method
  • Create dashboards in Power BI
  • Secure data access in Power BI

Course outline

  1. Module 1Discover data analysis

    • Overview of data analysis
    • Roles in data
    • Tasks of a data analyst
  2. Module 2Get started building with Power BI

    • Use Power BI
    • Building blocks of Power BI
    • Tour and use the Power BI service
  3. Module 3Introduction 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. Module 4Get 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. Module 5Get 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. Module 6Clean, 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. Module 7Choose 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. Module 8Configure a semantic model

    • Configure relationships
    • Configure tables
    • Configure columns
    • Configure hierarchies
    • Configure measures
    • Configure parameters
  9. Module 9Write 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. Module 10Create DAX calculations in semantic models

    • Create calculated tables
    • Create calculated columns
    • Understand implicit measures
    • Create explicit measures
    • Use iterator functions
  11. Module 11Use DAX time intelligence functions in semantic

    • models
    • Use DAX time intelligence functions
    • Additional time intelligence calculations
  12. Module 12Create visual calculations in Power BI Desktop

    • Understand visual calculations
    • Create visual calculations
    • Use parameters in visual calculations
    • Module assessment
  13. Module 13Optimize 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. Module 14Scope 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. Module 15Design 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. Module 16Enhance 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. Module 17Perform 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. Module 18Manage workspaces in Power BI service

    • Understand Power BI service
    • Understand workspaces
    • Publish to Power BI service
  19. Module 19Manage 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. Module 20Choose a content distribution method

    • Understand sharing models
    • Create a Power BI app
    • Apply data governance principles
    • Track report or dashboard usage
  21. Module 21Create 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. Module 22Secure 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

Download the full outline (PDF)

Before you attend

Design and create reports for data analysis Apply and perform advanced report analytics Manage and share report assets Understanding of core data concepts. Knowledge of working with relational data. Knowledge of working with non - relational data. Knowledge of data analysis and visualization concepts Student Materials Each student receives a printed copy of all the material presented by the instructor. .

Run this for a team

Private cohorts run on your dates, at your site or online, with the labs pointed at your environment. Above about four people it usually costs less than buying seats.

Or call 916-920-1700, weekdays 8 to 5 Pacific.

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