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In this 3-day instructor-led course participants 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 students 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 participants how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI. Note: In addition to professional experience, students who take this training should have technical knowledge equivalent to the information found in the DP-900 Microsoft Azure Data Fundamentals course. Specifically, Data Analysts should start this role having experience working with data in the cloud.

  • 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

Target 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.

What You'll Learn

  • Ingest, clean and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis

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Related Links: Microsoft Certified: Power BI Data Analyst Associate

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  • Course Number PL-300
  • Course Length 3 days
  • Course Fee $1,795.00
  • Delivery Format vILT (Instructor Led; Virtual LIVE Online; Remote Training)
  • Course Topic Business Intelligence
  • Vendor Microsoft
  • Technology Azure
Need a different date? This course is also offered on these dates

Register for course: PL-300

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