This course is designed to teach the participant how to combine the functionality of Power View, PowerPivot, Power Query, and Power BI into graphs, charts, KPIs, reports, and other visualizations for use in their business. This course is lab example intensive.

The course is targeted towards business analysts, business intelligence developers, and reporting professionals.


Objetivos

  • Navigate the Power View interface.
  • Utilize Power View reports.
  • Work with tables.
  • Understand aggregations.
  • Utilize matrix.
  • Configure drill through.
  • Use cards as a visualization.
  • Apply filters.
  • Create charts.
  • Utilize tiles.
  • Add slicers to reports.
  • Utilize themes.
  • Navigate the PowerPivot interface.
  • Load data.
  • Examine and configure relationships.
  • Configure calculated columns are calculated fields.
  • Create PivotTables.
  • Understand and utilize DAX.
  • Use KPIs.
  • Work with hierarchies.
  • Manage perspectives.
  • Navigate the Power Query interface.
  • Load data.
  • Filter data.
  • Merge datasets.
  • Manage modifications.
  • Perform data cleaning.
  • Navigate the Power Map interface.
  • Use Bing maps.
  • Examine map data.
  • Configure tours, scenes, and layers.
  • Add time to a presentation.
  • Navigate the Power BI interface.
  • Utilize data sources.
  • Understand querying with natural language.


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.

Objetivos

  • Prepare the data
  • Model the data
  • Visualize the data
  • Analyze the data
  • Deploy and maintain deliverables

Conoce más detalles sobre este curso


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.

Conoce más detalles sobre este curso