Who is this course for? Anybody who want to take advantage of the predictive, machine learning and embedded AI capabilities on Power BI.
Learning Objectives: Attendees will be able to use the machine learning and AI features of Power BI including the Key Influencers visual and AutoML.
Pre-requisites: Basic familiarity with Power BI Desktop – for example by attending the Power BI Foundation course.
Course Content:
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.
Below are some images from the lab exercises on the course.
