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Microsoft Power BI Data Analyst

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...

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$1,875 USD GSA  $1,734.26
Duration 3 days
Course Code PL-300T00
Available Formats Classroom, Virtual

Upcoming Course Dates

  • Guaranteed to Run
    Mar 24, 2025 - Mar 26, 2025 (3 days)
    Live Virtual | 9:00AM – 5:00PM EDT
    Language English
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    Live Virtual |9:00AM – 5:00PM EDT
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  • Guaranteed to Run
    Apr 2, 2025 - Apr 4, 2025 (3 days)
    Live Virtual | 11:00AM – 7:00PM EDT
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    Apr 14, 2025 - Apr 16, 2025 (3 days)
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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 are 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 on 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.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.

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
  • Create interactive reports using Copilot for Power BI
    • Prepare your data for use with Copilot for Power BI
    • Use Copilot for Power BI to model your data
    • Create reports with Copilot for Power BI
    • Create summaries with Copilot for Power BI
    • Knowledge check
  • 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 - Prepare data in Power BI Desktop
    • 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
    • Knowledge check
  • Describe Power BI Desktop models
    • Star schema design
    • Analytic queries
    • Configure report visuals
    • Check your knowledge
  • Design a semantic model in Power BI
    • Work with tables
    • Create a date table
    • Work with dimensions
    • Define data granularity
    • Work with relationships and cardinality
    • Resolve modeling challenges
    • Exercise - Model data in Power BI Desktop
    • Check your knowledge
  • Write DAX formulas for Power BI Desktop models
    • Write DAX formulas
    • DAX data types
    • Work with DAX functions
    • Use DAX operators
    • Use DAX variables
    • Check your knowledge
  • Add measures to Power BI Desktop models
    • Create simple measures
    • Create compound measures
    • Create quick measures
    • Compare calculated columns with measures
    • Check your knowledge
    • Exercise - Create DAX Calculations in Power BI Desktop
  • Add calculated tables and columns to Power BI Desktop models
    • Create calculated columns
    • Learn about row context
    • Choose a technique to add a column
    • Check your knowledge
  • Modify DAX filter context in Power BI Desktop models
    • Modify filter context
    • Use filter modifier functions
    • Examine filter context
    • Perform context transition
    • Check your knowledge
  • Use DAX time intelligence functions in Power BI Desktop models
    • Use DAX time intelligence functions
    • Additional time intelligence calculations
    • Exercise - Create Advanced DAX Calculations in Power BI Desktop
    • Check your knowledge
  • Optimize a model for performance in Power BI
    • Introduction to performance optimization
    • 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 report designs
    • Check your knowledge
  • Design Power BI reports
    • Design the analytical report layout
    • Design visually appealing reports
    • Report objects
    • Select report visuals
    • Select report visuals to suit the report layout
    • Format and configure visualizations
    • Work with key performance indicators
    • Exercise - Design a report in Power BI desktop
    • 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
    • Knowledge check
  • Configure Power BI report filters
    • Introduction to designing reports for filtering
    • Apply filters to the report structure
    • Apply filters with slicers
    • Design reports with advanced filtering techniques
    • Consumption-time filtering
    • Select report filter techniques
    • Case study - Configure report filters based on feedback
    • 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 Advanced Analytics with AI Visuals
    • Check your knowledge
  • Create and manage workspaces in Power BI
    • Distribute a report or dashboard
    • Monitor usage and performance
    • Recommend a development life cycle strategy
    • Troubleshoot data by viewing its lineage
    • Configure data protection
    • 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
    • Troubleshoot service connectivity
    • Boost performance with query caching (Premium)
    • 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
    • Configure a real-time dashboard
    • Set mobile view
    • Exercise - Create a Power BI dashboard
    • Check your knowledge
  • Implement row-level security
    • Configure row-level security with the static method
    • Configure row-level security with the dynamic method
    • Exercise - Enforce row-level security in Power BI
    • Check your knowledge
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Schedule

9 options available

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    Mar 24, 2025 - Mar 26, 2025 (3 days)
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    Apr 2, 2025 - Apr 4, 2025 (3 days)
    Live Virtual | 11:00AM – 7:00PM EDT
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    Apr 14, 2025 - Apr 16, 2025 (3 days)
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    Apr 23, 2025 - Apr 25, 2025 (3 days)
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    May 5, 2025 - May 7, 2025 (3 days)
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    May 14, 2025 - May 16, 2025 (3 days)
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    May 27, 2025 - May 29, 2025 (3 days)
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    Jun 9, 2025 - Jun 11, 2025 (3 days)
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    Jun 23, 2025 - Jun 25, 2025 (3 days)
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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

Thank you so much ! This was a lot to absorb but you made it enjoyable and not so overwhelming!

Edgar is a great instructor

Everything was perfect!

Franz did an amazing job! He gave great insight on each material that was presented, provide detailed explanations for all questions that were asked, and found different resources to deepen our knowledge in specific topics. Overall GREAT instructor!

Richard Doelker was wonderful. He presented well, clear and provided examples to situations. The course content had a great flow.