SAS Resource Library: Visual Analytics, Data Mining & Machine Learning, and Advanced Statistics

Below are four official resources from SAS Institute that offer insight into the SAS platform’s capabilities, from data visualization, data mining and machine learning, real-world industry applications, to advanced statistical analysis.

1. SAS® Visual Analytics on SAS® Viya®

A self-service reporting and visual discovery solution that lets users build interactive dashboards, run automated analysis and forecasting, and apply location-based analytics, all within a single in-memory engine accessible via the web, Microsoft Office, and mobile apps.

For the full details, click the link below: Download SAS Visual Analytics on SAS Viya (PDF)

2. SAS® Viya™ Data Mining and Machine Learning

An integrated in-memory environment for data scientists to handle data wrangling and exploration, then build and compare machine-learning models, complete with automated tuning and automatic score code generation for deploying models into production.

For the full details, click the link below: Download SAS Viya Data Mining and Machine Learning (PDF)

3. Visualizing Insights, Empowering Discoveries: SAS Viya Unleashed in Life Science Analytics (WUSS 2023)

A case study by Matt Becker (SAS Institute) showcasing real-world applications of SAS Viya in the life sciences industry, from clinical dashboards to genomic analysis and pharmacovigilance, a concrete example of how SAS Viya’s data exploration capabilities can be adapted across industries dealing with large, complex data.

For the full details, click the link below: Download the WUSS 2023 paper (PDF)

4. SAS® Analytics Pro

An integrated package combining Base SAS, SAS/STAT®, and SAS/GRAPH® for reading and transforming data, advanced statistical analysis, and report and visualization creation, with repeatable, well-documented code to support compliance requirements.

For the full details, click the link below: Download SAS Analytics Pro (PDF)