Sas Studio

| 15-09-2021
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  1. Sas Studio Tutorial
  2. Sas Studio Login
  1. SAS Demo Image Classification Using SAS. Brian Gaines demonstrates how to use a new task in SAS Studio to jump-start the development of SAS code to train an image classification model with the power of SAS Viya.
  2. Sep 15, 2017 SAS Studio is a development application for SAS that you access through your web browser. With SAS Studio, you can access your data files, libraries, and existing programs, and you can write new programs. You can also use the predefined tasks in SAS Studio to generate SAS code.
  3. SAS Studio automatically adds ports to a node as they are needed when you connect nodes. Expand and collapse nodes inside of the flow. Other key features. The SAS server can be a hosted server in a cloud, in your data center or in a hybrid environment with no changes to the SAS Studio interface.
  4. SAS Studio is an interface that comes with every SAS product that includes Base SAS – so you get a consistent experience from any computing device. Check out some of the products that include SAS Studio.

This course provides a hands-on tour of the forecasting functionality in Model Studio, a component of SAS Viya. The course begins by showing how to load the data into memory and visualize the time series data to be modeled. Attribute variables are introduced and implemented in the visualization. The course then covers the essentials of using pipelines for generating forecasts and selecting champion pipelines in a project. It also teaches you how to incorporate large-scale forecasting practices into the forecasting project. These include the creation of data hierarchies, forecast reconciliation, overrides, and best practices associated with forecast model selection.

SAS Studio & Salon. 725 S Loudoun St Winchester VA 22601. 540.773.3208 ­.

This course can help prepare you for the following certification exam(s): SAS Forecasting and Optimization Using SAS Viya 3.5.

Studio

Sas Studio Tutorial

Learn how to

Sas Studio Login

  • Automatically create and fit custom forecast models using structured analytic workflows or pipelines.
  • Visualize modeling data using attribute variables.
  • Refine forecast models to improve forecast accuracy.
  • Apply overrides-generated forecasts.
  • Generate forecast data sets for deployment.
  • Build and share custom pipelines for large-scale forecasting analyses.

Who should attend

Forecasters and analysts in any industry, including retail, financial services, manufacturing, and pharmaceuticals

Formats available

Standard Duration

Classroom:1.5 days
Live Web Classroom:3 half-day session(s)System Requirements
e-Learning:14 hours/180 day licenseSystem Requirements

Before attending this course, you should have an understanding of basic statistical concepts. You can gain this experience by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course. Programming experience is not required.

This course addresses SAS Visual Forecasting software.

Introduction and Data Visualization
  • SAS Drive overview.
  • Creating a forecasting project and loading the data.
  • Visualizing the modeling data using attribute variables.
Pipeline Essentials
  • Definition and creation of a time series.
  • Fundamental concepts in time series modeling.
  • Classes of time series models
  • Model comparison using honest assessment.
  • Pipeline templates and pipeline comparison.
Hierarchical Forecasting
Post-forecasting Functionality
  • Overrides and exporting generated tables.
Inline Code Access and Overview (Appendix)
  • Code overview.

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