Design and Manage Analytics Solutions using Power BI

Overview

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.

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.

Module 1: Discover data analysis

Module 2: Get started building with Power BI

Module 3: Get data in Power BI

Module 4: Clean, transform, and load data in Power BI

Module 5: Design a semantic model in Power BI

Module 6: Add measures to Power BI Desktop models

Module 7: Add calculated tables and columns to Power BI Desktop models

Module 8: Use DAX time intelligence functions in Power BI Desktop models

Module 9: Optimize a model for performance in Power BI

Module 10: Design Power BI reports

Module 11: Configure Power BI report filters

Module 12: Enhance Power BI report designs for the user experience

Module 13: Perform analytics in Power BI

Module 14: Create and manage workspaces in Power BI

Module 15: Manage semantic models in Power BI

Module 16: Create dashboards in Power BI

Module 17: Implement row-level security

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Frequently Asked Questions

Who should attend?

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.

Are there any prerequisites for this course?

Successful Data Analysts start this role with experience of working with data in the cloud.

Specifically:

• 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.

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