PL-300 Microsoft Power BI Data Analyst (PL-300T00)


Seminar - Ziel

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.

Teilnehmer - Zielgruppe

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.

Kurs - Voraussetzungen

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 Microsoft Azure Data Fundamentals before taking this course.


  • 3 Tage
  • 09:00 Uhr bis 17:00 Uhr


  • nach Absprache

Seminar-Inhalt / Agenda

Module 1: Get Started with Microsoft Data Analytics

  • Data Analytics and Microsoft

  • Getting Started with Power BI

Module 2: Getting Data in Power BI

  • Data Analytics and Microsoft
  • Optimize Performance
  • Resolve Data Errors
  • Prepare Data

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 Model Calculations using DAX in Power BI

  • Introduction to DAX
  • Real-time dashboards
  • Advanced DAX

Module 6: Optimize Model Performance in Power BI

  • Optimze the model for performance

  • Optimize DirectQuery Models

Module 7: Create Reports in Power BI

  • Design a report

  • Enhance the report

Module 8: Create Dashboards in Power BI

  • Create a Dashboard

  • Real-time Dashboards

  • Enhance a Dashboard

Module 9: Identify Patterns and Trends in Power BI

  • Advanced Analytics
  • Data Insights through AI visuals

Module 10: Create and Manage Workspaces in Power BI

  • Creating Workspaces
  • Sharing and Managing Assets

Module 11: Manage Datasets in Power BI

  • Parameters

  • Datasets

Module 12: Row-level Security in Power BI

  • Security in Power BI

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