Logo Enterprise Skills InitiativeDuration: 4 days

Teaching method: classroom live and virtual classroom

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.


  • 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


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.


Microsoft Azure Fundamentals (AZ-900) or comparable knowledge.
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course (the ONE day AZ-900).


  • Module 1: Get Started with Microsoft Data Analytics
    • Data Analytics and Microsoft
    • Getting Started with Power BI
  • Module 2: Prepare Data in Power BI
    • Get data from various data sources
    • Optimize performance
    • Resolve data errors
  • Module 3: Clean, Transform, and Load Data in Power BI
    • Data shaping
    • Enhance the data structure
    • Data Profiling
  • Module 4: Design a Data Model in Power BI
    • Introduction to data modeling
    • Working with tables
    • Dimensions and Hierarchies
  • Module 5: Create Measures using DAX in Power BI
    • Introduction to DAX
    • DAX context
    • Advanced DAX
  • Module 6: Optimize Model Performance
    • Optimze the model for performance
    • Optimize DirectQuery Models
    • Create and manage Aggregations
    • After completing this module, you will be able to:
    • Understand the importance of variables
    • Enhance the data model
    • Optimize the storage model
    • Implement aggregations
  • Module 7: Create Reports
    • Design a report
    • Enhance the report
  • Module 8: Create Dashboards
    • Create a Dashboard
    • Real-time Dashboards
    • Enhance a Dashboard
  • Module 9: Create Paginated Reports in Power BI
    • Paginated report overview
    • Create Paginated reports
  • Module 10: Perform Advanced Analytics
    • Advanced Analytics
    • Data Insights through AI visuals
  • Module 11: Create and Manage Workspaces
    • Creating Workspaces
    • Sharing and Managing Assets
  • Module 12: Manage Datasets in Power BI
    • Parameters
    • Datasets
  • Module 13: Row-level security
    • Security in Power BI


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