Microsoft Power BI Data Analyst

course

Information

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.

Audience Profile

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.

Course Syllabus

Get started with Microsoft data analytics

Discover data analysis
Get started building with Power BI
Create interactive reports using Copilot for Power BI

Prepare data for analysis with Power BI

Get data in Power BI
Clean, transform, and load data in Power BI

Model data with Power BI

Describe Power BI Desktop models
Choose a Power BI model framework
Design a semantic model in Power BI
Write DAX formulas for Power BI Desktop models
Add measures to Power BI Desktop models
Add calculated tables and columns to Power BI Desktop models
Use DAX time intelligence functions in Power BI Desktop models
Optimize a model for performance in Power BI
Enforce Power BI model security

Build Power BI visuals and reports

Scope report design requirements
Design Power BI reports
Create visual calculations in Power BI Desktop
Configure Power BI report filters
Enhance Power BI report designs for the user experience
Perform analytics in Power BI
Create paginated reports

Manage workspaces and datasets in Power BI

Create and manage workspaces in Power BI
Manage semantic models in Power BI
Create dashboards in Power BI
Implement row-level security

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