Managing SAS® Analytical Models Using SAS® Model Manager Version 14.2
Duration: 14.0 hours
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.
Learn How To
manage SAS Model Manager Data Sources
create a SAS Model Management Project Tree
import models into SAS Model Manager
compare and assess models using model comparison reports
score SAS Model Manager models
create SAS Model Manager production reports
create SAS Model Manager advanced reports
create customized version life cycles
use the SAS Model Manager query utility.
Who Should Attend
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
Prerequisites
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(R) Enterprise Miner(TM) 5.2 course.
SAS Products Covered
SAS/STAT;SAS Decision Manager;SAS Model Manager;SAS Enterprise Miner
Course Outline
SAS Model Manager Overview
introducing SAS Model Manager benefits and key features
touring the SAS Model Manager interface
learning the interfaceManaging SAS Model Manager Data Sources
exploring SAS Model Manager data sources
adding a tableCreating a SAS Model Manager Project
defining and creating a SAS Model Manager projectImporting Models into SAS Model Manager
importing candidate models
importing models into SAS Model ManagerComparing and Assessing Models Using Comparison Reports
creating SAS Model Manager comparison reports
selecting the champion model
locking the project versionScoring 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 databaseCreating 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 batchCoding Your Own Reports
creating ad hoc reports
creating user-defined reportsSpecial 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 cardWorkflow
exploring the use of a workflow to provide model governance
creating a new project using a workflow
The hands-on lab is preconfigured to support this course and will not support hands-on practice for all your enrolled courses.
Hands-On Lab Reservation System
When you are planning your study time, keep in mind that the virtual lab takes 30-45 minutes to start
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