PL-300T00: 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 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.


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 Outline:

1 – Get Started with Microsoft Data Analytics

  • Data Analytics and Microsoft
  • Getting Started with Power BI

2 – Getting Data in Power BI

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

3 – Cleaning, Transforming, and Loading Data in Power BI

  • Shaping the Data
  • Profiling the Data
  • Enhance the data structure

4 – Design a Data Model in Power BI

  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies

5 – Create Model Calculations using DAX in Power BI

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

6 – Optimize Model Performance in Power BI

  • Optimize the data model for performance
  • Optimize DirectQuery Models

7 – Create Reports in Power BI

  • Design a report
  • Enhance the report

8 – Create Dashboards in Power BI

  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard

9 – Identify Patterns and Trends in Power BI

  • Advanced Analytics
  • Data Insights through AI visuals

10 – Create and Manage Workspaces in Power BI

  • Creating Workspaces
  • Sharing and Managing Assets

11 – Manage Files and Datasets in Power BI

  • Parameters
  • Datasets

12 – Row-level Security in Power BI

  • Security in Power BI

Enroll in this course


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