Decision Tree Modeling

Course code: DMDT42

This course includes discussions of tree-structured predictive models and the methodology for growing, pruning, and assessing decision trees. In addition, this course examines many of the auxiliary uses of trees such as exploratory data analysis, dimension reduction, and missing value imputation.
1 200 EUR

1 452 EUR including VAT

Selection of dates
Do you have a question?
+420 731 175 867

and certified lecturers

recognized certifications

Wide range of technical
and soft skills courses

Great customer

Making courses
exactly to measure your needs

Course dates

Starting date: Upon request

Type: Upon request

Course duration: 14 hours

Language: en

Price without VAT: 1 200 EUR


Type Course
Language Price without VAT
Upon request Upon request 14 hours en 1 200 EUR Register
G Guaranteed course

Didn't find a suitable date?

Write to us about listing an alternative tailor-made date.


Target group

Predictive modelers and data analysts who want to build decision trees using SAS Enterprise Miner software

Course structure

Tree-Structured Models

  • classification trees
  • regression trees

Recursive Partitioning

  • binary and multiway splits
  • splitting criteria
  • missing values


  • p-value adjustments
  • profit and loss considerations
  • cross validation
  • class probability trees

Auxiliary Uses of Trees

  • data exploration
  • dimension reduction
  • imputation

Ensembles of Trees

  • bagging
  • boosting
  • gradient boosting
  • random forests


Before attending this course, you should
  • have an understanding of basic statistical concepts. You can gain this knowledge from the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.
  • be familiar with SAS Enterprise Miner software. You can gain this knowledge from the Applied Analytics Using SAS Enterprise Miner course.
  • Do you need advice or a tailor-made course?


    product support

    ComGate payment gateway MasterCard Logo Visa logo