microsoft partner logo color
358  Reviews star_rate star_rate star_rate star_rate star_half

Design and manage analytics solutions using Power BI

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show...

Read More
View Full Schedule Train Your Team
$1,875 USD GSA  $1,734.26
Duration 3 days
Course Code PL-300T00
Available Formats Classroom, Virtual

Upcoming Course Dates

  • Jul 23, 2025 - Jul 25, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
    SAVE 20% on this course -
    Promo Code: LEARN20
  • Aug 4, 2025 - Aug 6, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
    SAVE 20% on this course -
    Promo Code: LEARN20
  • Aug 18, 2025 - Aug 20, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
    SAVE 20% on this course -
    Promo Code: LEARN20
Ask a Question Request Other Date Request On-site Course

Overview

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Audience Profile

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 at those individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises.

Skills Gained

After completing this course, students will be able to:

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets

Prerequisites

Successful Data Analysts start this role with experience of 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.

Course Details

Outline

  • Discover data analysis
    • Overview of data analysis
    • Roles in data
    • Tasks of a data analyst
    • Check your knowledge
    • Summary
  • Get started building with Power BI
    • Use Power BI
    • Building blocks of Power BI
    • Tour and use the Power BI service
    • Knowledge check
  • 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
  • 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
  • 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
    • Exercise - Get data in Power BI
    • Check your knowledge
  • 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
    • Exercise - Load data in Power BI Desktop
    • Check your knowledge
  • 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
  • Configure a semantic model
    • Configure relationships
    • Configure tables
    • Configure columns
    • Configure hierarchies
    • Configure measures
    • Configure parameters
    • Exercise - Configure a semantic model in Power BI Desktop
    • Check your knowledge
  • 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
    • Check your knowledge
  • Create DAX calculations in semantic models
    • Create calculated tables
    • Create calculated columns
    • Understand implicit measures
    • Create explicit measures
    • Use iterator functions
    • Exercise - Create DAX calculations
    • Check your knowledge
  • Use DAX time intelligence functions in semantic models
    • Use DAX time intelligence functions
    • Additional time intelligence calculations
    • Exercise - Use time intelligence functions
    • Check your knowledge
  • Create visual calculations in Power BI Desktop
    • Understand visual calculations
    • Create visual calculations
    • Use parameters in visual calculations
    • Exercise - Create visual calculations in Power BI Desktop
    • Module assessment
  • Optimize a model for performance in Power BI
    • Introduction to performance optimization
    • 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
    • Check your knowledge
  • 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
    • Check your knowledge
  • 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
    • Exercise - Design Power BI reports
    • Check your knowledge
  • 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
    • Exercise - Enhance Power BI reports
    • Check your knowledge
  • Perform analytics in Power BI
    • Introduction to analytics
    • 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
    • Exercise - Perform analytics in Power BI
    • Check your knowledge
  • Manage workspaces in Power BI service
    • Understand Power BI service
    • Understand workspaces
    • Publish to Power BI service
    • Check your knowledge
  • 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
    • Check your knowledge
  • Choose a content distribution method
    • Understand sharing models
    • Create a Power BI app
    • Apply data governance principles
    • Track report or dashboard usage
    • Check your knowledge
  • Create dashboards in Power BI
    • Introduction to dashboards
    • 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
    • Exercise - Create dashboards in Power BI
    • Check your knowledge
  • 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
    • Exercise - Enforce row-level security in Power BI
    • Check your knowledge
Read Less
|
View Full Schedule

Schedule

12 options available

  • Jul 23, 2025 - Jul 25, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
    SAVE 20% on this course -
    Promo Code: LEARN20
  • Aug 4, 2025 - Aug 6, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
    SAVE 20% on this course -
    Promo Code: LEARN20
  • Aug 18, 2025 - Aug 20, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
    SAVE 20% on this course -
    Promo Code: LEARN20
  • Sep 3, 2025 - Sep 5, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
  • Sep 15, 2025 - Sep 17, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
  • Sep 29, 2025 - Oct 1, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
  • Oct 15, 2025 - Oct 17, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
  • Oct 29, 2025 - Oct 31, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EDT
    Live Virtual | 9:00AM – 5:00PM EDT
    Enroll
    Enroll Add to quote
  • Nov 12, 2025 - Nov 14, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EST
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EST
    Live Virtual | 9:00AM – 5:00PM EST
    Enroll
    Enroll Add to quote
  • Nov 24, 2025 - Nov 26, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EST
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EST
    Live Virtual | 9:00AM – 5:00PM EST
    Enroll
    Enroll Add to quote
  • Dec 10, 2025 - Dec 12, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EST
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EST
    Live Virtual | 9:00AM – 5:00PM EST
    Enroll
    Enroll Add to quote
  • Dec 22, 2025 - Dec 24, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EST
    Language English
    Select from 1 options below
    Live Virtual |9:00AM – 5:00PM EST
    Live Virtual | 9:00AM – 5:00PM EST
    Enroll
    Enroll Add to quote

FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

This was a great course that rapidly oriented my team and I onto a new capability that we previously only understood in passing. Leaving this course I'm confident that we can use these skills immediately and have the necessary background to improve further.

Scott was great - very knowledgeable and responsive to students. Thanks, Scott.

I found Scott Andrews to be very helpful in answering all our questions that were asked. He appeared to be very knowledgeable in Power BI.

It is conductive, feel comfortable with the trainer and overall training technology and environment.

Scott was extremely helpful and when asked questions, made links to the material and how it could be applied in our work settings. Would highly recommend to a colleague.