Self-Service AI with Power BI Desktop by Markus Ehrenmueller-Jensen

Self-Service AI with Power BI Desktop by Markus Ehrenmueller-Jensen

$339.00

Use 50% Discount Code: DPS50 (Now: US$ 339. After Discount: US$ 169.5)
 
Self-Service AI with Power BI Desktop by Markus Ehrenmueller-Jensen

Abstract: Power BI Desktop is Microsoft’s free tool for self-service BI. It’s updated every single month with exciting new features and Gartner declared it since 2019 to THE leading BI Tool (which led Tableau and Qlik behind). In this full day workshop, we take a look on Power BI Desktop’s possibilities concerning Artificial Intelligence. The functionalities are reaching from simple context menus, to e. g. get an explanation for a peak in a value over time, to ingesting a self-deployed Azure Machine Learning web service.

The agenda contains all the listed features, which we will discuss and try out on concrete examples:

  • Q & A
  • Quick Insights
  • What-if Parameter
  • Analytic Line
  • Data Profiling
  • Usage Monitoring and Auditing
  • R & Python Integration
  • Smart Custom Visuals
  • Key Influencer Visual
  • Column by Example
  • Decision Tree
  • Cognitive Services
  • Azure Machine Learning

PS: This class will be recorded and the registered attendee will get 12 months streaming access to the recorded class. The recordings will be available within 30 days of class completion.

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Description

Self-Service AI with Power BI Desktop by Markus Ehrenmueller-Jensen

Abstract: Power BI Desktop is Microsoft’s free tool for self-service BI. It’s updated every single month with exciting new features and Gartner declared it since 2019 to THE leading BI Tool (which led Tableau and Qlik behind). In this full day workshop, we take a look on Power BI Desktop’s possibilities concerning Artificial Intelligence. The functionalities are reaching from simple context menus, to e. g. get an explanation for a peak in a value over time, to ingesting a self-deployed Azure Machine Learning web service.

The agenda contains all the listed features, which we will discuss and try out on concrete examples:

  • Q & A
  • Quick Insights
  • What-if Parameter
  • Analytic Line
  • Data Profiling
  • Usage Monitoring and Auditing
  • R & Python Integration
  • Smart Custom Visuals
  • Key Influencer Visual
  • Column by Example
  • Decision Tree
  • Cognitive Services
  • Azure Machine Learning

Modules:

  1. Q & A
  2. Quick Insights
  3. What-if Parameter
  4. Analytic Line
  5. Data Profiling
  6. Usage Monitoring and Auditing
  7. R & Python Integration
  8. Smart Custom Visuals
  9. Key Influencer Visual
  10. Column by Example
  11. Decision Tree
  12. Cognitive Services
  13. Azure Machine Learning

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