Power BI Advanced
Understand and master the advanced features of Power BI Desktop to transform your data, model efficiently and create interactive, dynamic and secure reports.
Purpose(3)
Understanding the principles of predictive analytics : Learn to distinguish between supervised and unsupervised models, and understand the variables and use cases for each family of algorithms.
Preparing and enriching data for modeling : Master the critical pre-learning steps: cleaning, segmentation, enrichment and creation of explanatory variables.
Building and evaluating predictive models : Deploy regression, classification or segmentation models in Alteryx, test their performance and integrate them into usable workflows.
Content
First steps in predictive analysis
Predictive analysis methodology
Data preparation
Linear and logistic regression in Alteryx
Model extension
Evaluate and compare models
Taking predictive analysis a step further
Predictive clustering in Alteryx
Prerequisites
None
Duration 2 jours
Alteryx Predictive
Comprising 8 modules of 1h45 each, this step-by-step training course guides you through the creation of predictive models with Alteryx Designer, without the need for coding. It includes methodology, practical application and visualization of results. All training materials are supplied.
References : FAP25
