Microsoft Power BI Data Analyst
- Course Code M-PL300
- Duration 3 days
Course Delivery
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Course Delivery
This course is available in the following formats:
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopThis 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.
Course Schedule
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- Delivery Format: Public Classroom
- Date: 28-30 April, 2025
- Location: Dubai-Knowledge Village
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- Delivery Format: Virtual Learning
- Date: 28-30 April, 2025
- Location: Virtual
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- Delivery Format: Virtual Learning
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Date:
28-30 April, 2025
Guaranteed To Run
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date: 04-06 May, 2025
- Location: Virtual
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- Delivery Format: Public Classroom
- Date: 25-27 May, 2025
- Location: Riyadh
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- Delivery Format: Public Classroom
- Date: 26-28 May, 2025
- Location: Dubai-Knowledge Village
Target Audience
TopThe 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 Objectives
Top- Get started with Microsoft data analytics
- Prepare data for analysis with Power BI
- Model data with Power BI
- Build Power BI visuals and reports
- Manage workspaces and datasets in Power BI
Course Content
TopGet started with Microsoft data analytics
- Discover data analysis
- Get started building with 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
- 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
Test Certification
TopMicrosoft Certified: Power BI Data Analyst Associate