PL-300T00 Microsoft Power BI Data Analyst

$1,895.00 USD

3 Days


Delivery Methods
Virtual Instructor Led
Private Group

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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.

Who Should Attend?

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.

  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Does this course include the PL-300 Microsoft Power Bi Data Analyst exam?
This course does not include the certification exam. It will prepare you for the certification by teaching you how to analyze data and use Power BI to discover and unlock data insights.

What training materials are included in the PL-300 Microsoft Power Bi Data Analyst course?
Students will have access to the following materials:

Microsoft Learn, which includes:

  • Videos
  • “Sandboxes” for students to work through Microsoft Learn Labs.
  • A progress tracker you move forward through the course material

Instructor-led classes also provide students with six months of access to GoDeploy, United Training’s lab provider. The course labs help students prepare for the certification exam should they choose to sit for it.

Can a course be retaken at no additional charge?
Yes. Most completed United Training courses carry our unbeatable Learning Guarantee. This guarantee allows students to repeat most United Training courses, if they are the same version, FREE OF CHARGE, within six months of completion of the courses. Exceptions: Cisco, Citrix, VMware, and courses provided by affiliated 3rd party training providers. Note: If you request a retake of a course, you will be responsible for the following costs: updated courseware if applicable, admin fee, lab fee, and exam voucher.

What is a Microsoft Certified Power Bi Data Analyst Associate?
Power BI data analysts unlock the value of business data by extracting actionable insights from available data. The role of a Power BI data analyst is to collaborate with stakeholders throughout the business to determine business needs, clean and transform data, and design and build data models using Power BI. A Power BI data analyst generates significant business value through easy-to-understand data visualizations while enabling others to perform self-service analytics.

What are the eligibility requirements for Microsoft Certified Power Bi Data Analyst Associate?
Power BI Data Analyst Associates must have a fundamental understanding of data repositories and data processes, both on-premises and in the cloud. In this role, data analysts use their expertise to help organizations maximize the value of their data assets by using Power BI. This requires the following skills:

  • Data preparation
  • Data modeling
  • Data visualization and analysis
  • Deploy and maintain assets

What careers is the Microsoft Certified Power Bi Data Analyst Associate useful for?
This certification is suitable for those with a background in data analytics, including Data Analysts and Data Scientists. It is helpful for professionals across many disciplines, including computer programming, mathematics, and statistics. Any position that requires data analysis to improve business performance.

How much do Microsoft Certified Power Bi Data Analyst Associates make?
As of Nov 21, 2022, the average annual pay for a Power BI Analyst in the United States is $88,884.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course 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.
  • DP-900T00 Microsoft Azure Data Fundamentals is recommended
  • Agenda

    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 - 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

    4 - 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

    5 - Describe Power BI Desktop models

    • Star schema design
    • Analytic queries
    • Configure report visuals

    6 - 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

    7 - 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

    8 - Write DAX formulas for Power BI Desktop models

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

    9 - Add measures to Power BI Desktop models

    • Create simple measures
    • Create compound measures
    • Create quick measures
    • Compare calculated columns with measures

    10 - Add calculated tables and columns to Power BI Desktop models

    • Create calculated columns
    • Learn about row context
    • Choose a technique to add a column

    11 - Use DAX time intelligence functions in Power BI Desktop models

    • Use DAX time intelligence functions
    • Additional time intelligence calculations

    12 - Optimize a model for performance in Power BI

    • 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

    13 - Enforce Power BI model security

    • Restrict access to Power BI model data
    • Restrict access to Power BI model objects
    • Apply good modeling practices

    14 - Scope report design requirements

    • Identify the audience
    • Determine report types
    • Define user interface requirements
    • Define user experience requirements
    • Explore report designs

    15 - 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

    16 - Configure Power BI report filters

    • 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

    17 - 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

    18 - 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

    19 - Create paginated reports

    • Get data
    • Create a paginated report
    • Work with charts on the report
    • Publish the report

    20 - 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

    21 - 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)

    22 - 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
    • Configure a real-time dashboard
    • Set mobile view

    23 - Implement row-level security

    • Configure row-level security with the static method
    • Configure row-level security with the dynamic method

    Upcoming Class Dates and Times

    Jul 24, 25, 26
    8:00 AM - 4:00 PM
    ENROLL $1,895.00 USD
    Aug 5, 6, 7
    8:00 AM - 4:00 PM
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    Aug 21, 22, 23
    8:00 AM - 4:00 PM
    ENROLL $1,895.00 USD
    Sep 4, 5, 6
    10:00 AM - 6:00 PM
    ENROLL $1,895.00 USD
    Sep 16, 17, 18
    8:00 AM - 4:00 PM
    ENROLL $1,895.00 USD
    Oct 2, 3, 4
    8:00 AM - 4:00 PM
    ENROLL $1,895.00 USD
    Oct 14, 15, 16
    8:00 AM - 4:00 PM
    ENROLL $1,895.00 USD
    Oct 28, 29, 30
    10:00 AM - 6:00 PM
    ENROLL $1,895.00 USD
    Nov 13, 14, 15
    8:00 AM - 4:00 PM
    ENROLL $1,895.00 USD
    Nov 25, 26, 27
    8:00 AM - 4:00 PM
    ENROLL $1,895.00 USD
    Dec 9, 10, 11
    8:00 AM - 4:00 PM
    ENROLL $1,895.00 USD
    Dec 18, 19, 20
    8:00 AM - 4:00 PM
    ENROLL $1,895.00 USD

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