Sas Studio
- 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.
- 1 Paper SAS302-2014 Introduction to SAS® Studio Michael A. Monaco, Marie Dexter, Jennifer Tamburro SAS Institute Inc., Cary, NC ABSTRACT This paper is an introduction to SAS® Studio and covers how to perform basic programming tasks in SAS Studio.
SAS Studio is a developmental web application for SAS that you access through your web browser. Many people program in SAS by using an application on their PC desktop or SAS server. SAS Studio is different because it is a tool that you can use to write and run SAS code through your web browser. SAS is a leader in business analytics. Through innovative analytics it caters to business intelligence and data management software and services. SAS transforms data into insight which can give a fresh perspective on business. Unlike other BI tools available in the market, SAS takes an extensive programming approach to data transformation.
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. Nero 2016 serial number keygen.
This course can help prepare you for the following certification exam(s): SAS Forecasting and Optimization Using SAS Viya 3.5.
Learn how toSas Studio University Edition
- 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 pharmaceuticalsFormats available | Standard Duration | |
| Classroom: | 1.5 days | |
| Live Web Classroom: | 3 half-day session(s) | System Requirements |
| e-Learning: | 14 hours/180 day license | System 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. Carecar c68 software. Programming experience is not required.
Free macromedia flash player 6.0 r21 software. 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.
- 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 ForecastingPost-forecasting Functionality
- Overrides and exporting generated tables.
- Code overview.
View learning path | Suggest course date | See program details |
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.
This course can help prepare you for the following certification exam(s): SAS Forecasting and Optimization Using SAS Viya 3.5.
Learn how to- 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 pharmaceuticalsFormats available | Standard Duration | |
| Classroom: | 1.5 days | |
| Live Web Classroom: | 3 half-day session(s) | System Requirements |
| e-Learning: | 14 hours/180 day license | System 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.
- 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.
Post-forecasting Functionality
- Overrides and exporting generated tables.
Sas Studio University Edition
Inline Code Access and Overview (Appendix)- Code overview.
Sas Studio App
View learning path | Suggest course date | See program details |