SAS Model Manager

Názov Úroveň Typ školenia
Strategies and Concepts for Data Scientists and Business Analysts Business Knowledge Series
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 Live Web Classroom
SAS® Viya® :モデルの管理と意思決定の構築
本トレーニングでは、Model Studioのパイプラインを使用して作成したか、他のソフトウェアを使用して作成したかに関係なく、モデルのライフサイクル全体を管理する方法を学びます。

0 No level Live Web Classroom e-Learning
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 Live Web Classroom
SAS Business Rules Manager Usage
This course covers SAS Business Rules Manager and SAS Decision Manager, a general-purpose, decisioning suite that supports the decision life cycle. This includes data preparation, model management, events handling, business rule and decision flow management, deployment, and monitoring.

3 Intermediate Live Web Classroom
Managing Models in SAS Viya New
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.

The self-study e-learning includes:

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

3 Intermediate Live Web Classroom e-Learning
SAS Risk Stratum: Data Preparation, Configuration, and Administration
This course introduces the solution administrator to the fundamental tasks for preparing, configuring, and administrating SAS Risk Stratum. The course provides hands-on demonstrations and practices for each relevant task. Students complete a capstone practice to review the process of configuring SAS Risk Stratum from loading new data to creating reports.

The self-study e-learning includes:

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

3 Intermediate Live Web Classroom e-Learning