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 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. This course will also show how to build paginated reports .
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.
Prerequisites
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Understanding core data concepts.
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Knowledge of working with relational data.
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Knowledge of working with non-relational data
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Knowledge of data analysis and visualization concepts.
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Understanding of Power BI is recommended
What You Will Learn
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How to Ingest, clean, and transform data
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How to Model data for performance and scalability
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How to Design and create reports for data analysis
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How to Apply and perform advanced report analytics
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How to use DAX to create measures
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How to Manage and share report assets
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How to Create paginated reports in Power BI Report Builder
