Managing SAS(R) Analytical Models Using SAS(R) Model Manager Version 14.2

Course code: MMUS42

This course focuses on the following key areas: managing SAS Model Manager data sources, creating a SAS Model Manager project, importing models into SAS Model Manager, using the SAS Model Manager Query Utility, creating scoring tasks, exporting models and projects into a SAS repository, and creating and configuring version life cycles. The course also covers generating SAS Model Manager model comparison reports, publishing and deploying SAS Model Manager models, creating SAS Model Manager production model monitoring reports, and creating user-defined reports.

The self-study e-learning includes:

  • Annotatable course notes in PDF format.
  • Virtual Lab time to practice.
1 200 EUR

1 452 EUR including VAT

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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
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Target group

IT staff who are involved in data preparation, scoring, and automating reports; modelers who create the model, create data sets, and might do some customized reporting; and business analysts, who are consumers of the model

Course structure

SAS Model Manager Overview

  • introducing SAS Model Manager benefits and key features
  • touring the SAS Model Manager interface
  • learning the interface

Managing SAS Model Manager Data Sources

  • exploring SAS Model Manager data sources
  • adding a table

Creating a SAS Model Manager Project

  • defining and creating a SAS Model Manager project

Importing Models into SAS Model Manager

  • importing candidate models
  • importing models into SAS Model Manager

Comparing and Assessing Models Using Comparison Reports

  • creating SAS Model Manager comparison reports
  • selecting the champion model
  • locking the project version

Scoring SAS Model Manager Models

  • creating a SAS Model Manager scoring test
  • publishing a champion model
  • publishing a project to a channel
  • publishing a model to a database

Creating Performance and Dashboard Reports

  • exploring SAS Model Manager performance reports
  • creating performance summary data sets
  • creating indicators and running dashboard reports
  • running performance reports through batch

Coding Your Own Reports

  • creating ad hoc reports
  • creating user-defined reports

Special Topics

  • locating models using the SAS Model Manager search
  • retraining models
  • creating a project portfolio from a control table
  • defining a Python model template
  • monitoring performance of a model without a score card


  • exploring the use of a workflow to provide model governance
  • creating a new project using a workflow


Before attending this course, you should be familiar with data mining concepts. You will derive the greatest benefit from this course if you have the following training or experience:
  • experience working in an IT environment
  • experience with SAS Enterprise Miner, SAS/STAT, and Base SAS software
  • experience constructing and evaluating predictive models, which can be gained by taking the Applied Analytics Using SAS Enterprise Miner course.
  • Do you need advice or a tailor-made course?


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