Training Console
AU: +61-2 9052 1988    NZ: +64 9 281 1876

SAS Model Manager

Title Level Training Formats
Strategies and Concepts for Data Scientists and Business Analysts
To be effective in a competitive business environment, analytics professionals need to use descriptive, predictive, and prescriptive analytics to translate information into decisions. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends.

In this course, you gain the skills data scientists and statistical business analysts must have to succeed in today's data-driven economy. Learn about visualizing big data, how predictive modeling can help you find hidden nuggets, the importance of experiments in business, and the kind of value you can gain from unstructured data.

This course combines scheduled, instructor-led classroom or Live Web sessions with small-group discussion, readings, and hands-on software demonstrations, for a highly engaging learning experience.

3 Intermediate Classroom
ModelOps with SAS: A DevOps Approach to Making Models Work for You Business Knowledge Series
DevOps (development operations) principles have evolved over time within software development environments that create, update, and deploy high-quality software products. ModelOps (model operations) is a complementary approach that supports the additional unique challenges that are faced by those responsible for managing models within the model operations life cycle. This course presents conceptual and practical insights about how to get your production models up and running. Using hands-on practices, you learn how to perform ModelOps actions in the SAS Model Manager user interface as well as through the Jupyter Notebook.

1 Beginner Live Web Classroom
Managing SAS Analytical Models Using SAS Model Manager Version 14.2
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.

3 Intermediate Classroom Live Web Classroom
Managing Models and Building Decisions in SAS Viya
This applied, hands-on course teaches you how to manage the entire life cycle of models, whether they were created using a pipeline in Model Studio or using other software. In the first half of the course, you learn to use SAS Model Manager. In the second half of this course, you learn how to create business decisions based on rules and conditions that you author using your operational data through SAS Decision Manager. Your business decisions can be published for both batch and real-time web service execution.

The self-study e-learning includes:

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

3 Intermediate e-Learning
Managing Models in SAS Viya
This applied, hands-on course teaches you how to manage models through their useful life cycle. You start by creating a modeling project, and then add and compare models to it so you can identify a champion model. The course uses models that are created using SAS Advanced Analytics capabilities and Python and R languages. The course also shows how to implement procedures that ensure that model governance and oversight approval is being followed by implementing workflow.

You learn how to test a model in the production environment to which it will be deployed. After the model test runs successfully, you learn how to schedule the model to run automatically.

Further, the course shows how to measure and monitor the ongoing performance of model accuracy over time. The performance monitoring process will also be scheduled to run automatically in class.

An optional lesson shows how to register and score four types of SAS Visual Text Analytics models.

3 Intermediate Live Web Classroom e-Learning