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. 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. 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. Data Mining Templates for Visio: This add-in enables you to render and share your mining models as. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Data Mining Client for Excel: By using this add-in, you can create, test, explore, and manage data mining models within Excel using either your spreadsheet data or external data accessible through your SQL Server 2012 Analysis Services instance. 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 show how to access and process data from a range of data sources including both relational and non-relational data. 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.
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