PL-300T00: Microsoft Power BI Data Analyst

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. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also 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 course may earn a Credly Badge.

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Learning Objectives

After completing this course, you 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
  • Create paginated reports in Power BI


    Course Details

    Course Outline

    1 - Module 1: Get Started with Microsoft Data Analytics
  • Data Analytics and Microsoft
  • Getting Started with Power BI
  • 2 - Module 2: Prepare Data in Power BI
  • Get data from various data sources
  • 3 - Module 3: Clean, Transform, and Load Data in Power BI
  • Data shaping
  • Data Profiling
  • Enhance the data structure
  • 4 - Module 4: Design a Data Model in Power BI
  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies
  • 5 - Module 5: Create Model Calculations using DAX in Power BI
  • Introduction to DAX
  • Real-time dashboards
  • Advanced DAX
  • 6 - Module 6: Optimize Model Performance in Power BI
  • Optimize the data model for performance
  • Optimize DirectQuery Models
  • 7 - Module 7: Create Reports in Power BI
  • Design a report
  • Enhance the report
  • 8 - Module 8: Create Dashboards in Power BI
  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard
  • 9 - Module 9: Identify Patterns and Trends in Power BI
  • Advanced Analytics
  • Data Insights through AI visuals
  • 10 - Module 10: Create and Manage Workspaces in Power BI
  • Creating Workspaces
  • Sharing and Managing Assets
  • 11 - Module 11: Manage Files and Datasets in Power BI
  • Parameters
  • Datasets
  • 12 - Module 12: Row-level Security in Power BI
  • Security in Power BI
  • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

    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.

    Other Prerequisites

    Before attending this course, students must have:

    Successful Data Analysts start this role with experience of working with data in the cloud.


    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 Course DP-900T00: Microsoft Azure Data Fundamentals before taking this course.

    Before attending this course, students should have an understanding of the following concepts as related to Windows Server technologies:

    High availability and disaster recovery




    PL-300T00: Microsoft Power BI Data Analyst

    Course Length : 3 Days

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