Course overview

This basic analytics course provides learners with a broad introduction to Apteco FastStats and aims to introduce the key functionality with its familiar Windows “drag and drop” interface. We'll work through the selection process and explain analysis functions using relevant examples on a standard dataset. Learn how to use the analysis and visualisation tools within FastStats, including data grids, cubes, trees and venns to explore and interrogate your data, gaining a good understanding of how to analyse data quickly and easily. 

Who is it for?

This course is intended for Apteco FastStats users and for the IT staff who support them. It’s recommended that learners have a sound knowledge of the MS Windows environment. MS Excel would be useful but is not essential.

What's included?

Full course documentation is available, and the course is entirely hands-on, with practical exercises to reinforce learning. Learners who attend the live training will receive a certificate on completion.

Course format

This course is only available live, as part of our scheduled courses and consists of 2 online sessions of approximately 3.5 hours each. 

For private training please contact the training team directly

What you'll learn
What you'll learn
  • Introduction – what are the Modelling tools
  • Cluster – creating groups based upon shared common characteristics
  • Cluster Results – reviewing the calculations including the K-Means technique
  • Cluster Output – creating a Virtual Variable from the Cluster analysis results
  • Decision Tree – creating a series of selection rules that characterise customers of interest
  • Decision Tree Results – reviewing the calculations and result displays
  • Decision Tree Output – creating a Virtual Variable from the tree nodes
  • Model Reports – compares and analyses the models including PWE
  • Segmentation – how to examine the movement of records between groups

Course format

This course is only available live, as part of our scheduled courses and consists of 2 online sessions of approximately 3.5 hours each. 

For private training please contact the training team directly