SAS

SAS 9.3 is a popular statistical program, which makes it possible to make advanced tests and analyses.

There are different modules in the program, which makes it possible for the user to choose a module that suits the given problem. 

At the University of Aarhus you have access to several software packages:

SAS 9.4

Version:

  • SAS 9.4 

Operating system:

  • Windows

Description:

  • SAS 9.4 is statistics software that enables you to preform both standard and advanced statistical procedures. The software provides a number of analytic capabilities including, traditional statistical analysis, forecasting and econometrics, optimization simulations and results as well as quality management and control.
  • Further, SAS 9.4 offers a variety of data management opportunities for cleansing, transforming, analyzing and presenting data from diverse data sources.

Access:

  • The software is available through the portal SAS 9.4 download
  • Sign in using your Aarhus University credentials
    • Username: AU<AUID>
    • Password: the same as for mit.au.dk

Am I allowed to use SAS privately: 

  • Yes

Manuals, documentation and courses:

  • Upon request, SAS Institute can arrange free SAS workshops, training sessions and courses especially designed for researchers and students affiliated with Aarhus University. For more information, please contact Academic Program Manager Signe Dyrby at signe.dyrby@sas.com

For further information

  •   Read more about the opportunities with SAS 9.4 here

SAS Enterprise Miner

Version:

  • SAS Enterprise Miner 9.4 

Operating system:

  • Windows 

Description:

  • SAS Enterprise Miner software enables you to build, test and compare descriptive and predictive models. Through the easy to use interface, you can illustrate key relationships and develop models intuitively and quickly.
  • Included in this software package is also the SAS Text Miner software, which lets you analyze text from the web, comment fields, books and other text sources.
  • With SAS Text Mining software, it is possible to spot trends, evaluate language and terms over time, identify themes in document collections and analyze results visually to explore relationships between terms and communication results. Both the Enterprise Mining and the Text mining software is part of the SAS 9.4 download on sasdownload.dk.

Access:

  • The software is available through the portal SAS Enterprise Miner 9.4
  • Sign in using your Aarhus University credentials
    • Username: AU<AUID>
    • Password: the same as for mit.au.dk

Am I allowed to use SAS Enterprise Miner privately:

  • Yes

Manuals, documentations and courses:

  • Upon request, SAS Institute can arrange free SAS workshops, training sessions and courses especially designed for researchers and students affiliated with Aarhus University. For more information, please contact Academic Program Manager Signe Dyrby at signe.dyrby@sas.com.

For further information:

  • Read more about the opportunities in SAS Data mining software here

SAS JMP

Version:

  • SAS JMP

Operating System:

  • Windows and MAC

Description:

  • JMP is a SAS affiliated data analysis software that allows you to access data and prepare it for analysis as well as perform choice statistical analysis. Some of the core capabilities of the JMP software include data acquisition, data cleanup, data visualization, statistical modelling, what-if analysis, reliability analysis, quality and process engineering and consumer and market research.
  • JMP works on both Mac and PC and its intuitive user interface makes it easy to navigate and work with.

Access:

  • At Aarhus University, you have access to a number of software packages from SAS. The software is available through the portal: SAS JMP
  •   Sign in using your Aarhus University credentials
    • Username: AU<AUID>
    • Password: the same as for mit.au.dk

Am I allowed to use SAS privately:

  • Yes

Manuals, documentation and courses:

  • Upon request, SAS Institute can arrange free SAS workshops, training sessions and courses especially designed for researchers and students affiliated with Aarhus University. For more information, please contact Academic Program Manager Signe Dyrby at signe.dyrby@sas.com.

For further informations:

  • Read more about the opportunities with JMP here
  • If you are an employee at AU please find more information here: SAS - Employee
  • If you are a student at AU please find more information here: SAS - Student