Booking Information
Once you have booked your course, the link to the recording will be available
in your "My Account" area.
Please be aware that you will have access to this course for 180 days from
the date of purchase
Online courses cannot be booked on behalf of someone else. Access will only
be granted to the person completing the online order.
Who Should Attend?
This course is suited to advanced learners with general expertise in Alteryx, although you don’t need specific experience of predictive modeling. This course will be of interest to any business professionals, such as accountants, management consultants and analysts who want to understand how their data can be used to make predictions for the future.
Course Overview
This Kubicle course contains 14 lessons, 2 exercises and 1 Exam. It covers the following topics:
- Introduction to Predictive Modelling
- Understanding Decision Tree Models
- Configuring Tree Models
- Decision Tree Outputs
- Comparing Decisions Tree Models
- Validating Our Models
- The Confusion Matrix
- Calculating Confusion Matrix Values
- Boosted Model
- Forest Model and Neural Networks/li>
- Naive Bayes
- Comparing Model Accuracy
- Exporting the Model Object
- Deploying the Predictive Models
Key Outcomes
Once you’ve completed this course, you’ll understand how to fit predictive models to your data using Alteryx. You’ll be able to compare the accuracy of a variety of models, then use the preferred models to make predictions for a new dataset. By applying the skills you’ll learn in this course, you’ll be able to understand how your data influences future outcomes in your business.