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. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
This course is relevant as preparation for the new Microsoft Certified: Power BI Data Analyst Associate.
Audience:
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.
Job role: Data Analyst
Prerequisites:
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 the DP-900: Microsoft Azure Data Fundamentals before taking this course.
Language:
• English course documentation, Norwegian speaking instructor
Certification:
This course will help you prepare for exam PL-300: Microsoft Power BI Data Analyst
If you pass exam PL-300 you will achieve the new Microsoft Certified: Power BI Data Analyst Associate certification.