Managing SAS® Analytical Models Using SAS® Model Manager Version 14.2
Available in:
Managing SAS® Analytical Models Using SAS® Model Manager Version 14.2
MMUS : 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.
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 Enterprise Miner course.
SAS Products Covered
SAS Enterprise Miner;SAS Model Manager;SAS/STAT;SAS Decision Manager
Course Outline
SAS Model Manager Overview
- introducing SAS Model Manager benefits and key features
- touring the SAS Model Manager interface
- learning the interface
- exploring SAS Model Manager data sources
- adding a table
- defining and creating a SAS Model Manager project
- importing candidate models
- importing models into SAS Model Manager
- creating SAS Model Manager comparison reports
- selecting the champion model
- locking the project version
- creating a SAS Model Manager scoring test
- publishing a champion model
- publishing a project to a channel
- publishing a model to a database
- exploring SAS Model Manager performance reports
- creating performance summary data sets
- creating indicators and running dashboard reports
- running performance reports through batch
- creating ad hoc reports
- creating user-defined reports
- 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
Live Class Schedule
Duration: 14 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.