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Anybody who want to take advantage of the predictive, machine learning and embedded AI capabilities on Power BI.
1 day
Attendees will be able to use the machine learning and AI features of Power BI including the Key Influencers visual and AutoML.
Basic familiarity with Power BI Desktop, for example by attending the foundation course.
Attendees first explore a dataset to see if it may be possible to build a predictive model. We then build a predictive model with AutoML,a tool in the Power BI Service that guides us through creating a machine learning (ML) model step-by-step.
We look at the “AI assisted” visuals in Power BI - the Key Influencers and Decomposition Tree visuals
We incorporate R and Python scripts into Power BI, as a step in the Query Editor to shape the data and to create a visual.
We take advantage of the Insights features for example, explain the increase, quick insights, find where distribution is different.
We invoke Cognitive Services, to do some text analysis - we do this from the Query Editor and also from dataflows
Finally we use the Q&A visual and configure Power BI to better understand natural language questions.
This is a practical hands-on course based on a set of lab exercises and case-studies.