SAS OnDemand for Academics Features List

Available to professors, students and independent learners.

• Access the power of analytics from SAS simply by connecting to a website.
• Use the predefined tasks to generate SAS code.
• Submit code from a wide range of devices, from wherever they happen to be.
• Avoid the need to download and install a software application or updates.
• Teach or enhance SAS skills using traditional SAS programming windows (Program Editor, Log, Output).
• Create new or upload existing SAS program files.
• Access SAS software, including:
  • SAS/STAT® – State-of-the-art statistical software.
  • Base SAS® – Flexible, extensible fourth-generation programming language for data access, transformation and reporting.
  • SAS/IML® – Interactive matrix programming and exploratory data analysis.
  • SAS/OR® – Enhanced operations research methods for optimizing processes and addressing management science challenges.
  • SAS/QC® – Tools for statistical quality improvement.
  • SAS/ETS® – Model, forecast and simulate processes with econometric and time series analysis.

Available to professors who register a class and their students.

• Uncover trends, identify issues or summarize findings on large or small volumes of data.
• A point-and-click interface makes it easy to learn and use or to teach SAS skills using traditional SAS programming windows (Program Editor, Log, Output).
• Reporting features promote the sharing and publishing of results.
• Support for many disciplines, including data analysis, statistics, research methods, math, economics, operations research, SAS programming and more.
• Learn more about SAS Enterprise Guide.

Available to professors who register a class and their students.

• Create and apply accurate predictive and descriptive models to large or small volumes of data.
• Integrate text mining for analysis of both structured and unstructured data.
• Apply mined results to guide future decisions or explore past decisions.
• Build and train your models with an interactive graphical user interface that makes it easy to visualize data mining activities and results.
• Supports various disciplines, including data preparation and exploration, data mining, modeling comparisons and more.
• Learn more about SAS Enterprise Miner.

Available to professors who register a class and their students.

• Teach forecasting concepts efficiently with an easy-to-use graphical user interface that can support novices as well as more experienced forecasters.
• Gain access to high-quality, statistically based, reliable forecasts without being an analytics forecaster.
• Learn the most appropriate forecasting model for a problem, incorporate what-if analyses and improve forecasting performance.
• Learn more about SAS Forecast Server.