SAS Viya for Learners
Key Applications
- Data Preparation & Transformation: Utilize a point-and-click interface to access, integrate, and modify data for analysis.
- Data Exploration & Visualization: Employ interactive tools to identify patterns and relationships, creating reports and dashboards for sharing insights.
- Model Building: Develop descriptive and predictive models using a visual, drag-and-drop interface for machine learning, time series forecasting, and more.
- Model Deployment & Management: Deploy models efficiently with automated, governed processes, ensuring traceability and continuous testing.
- Programming Support: Code in SAS, Python, or R within a unified environment, facilitating flexibility and integration.
Who It’s For
SAS Viya for Learners is tailored for students, educators, and academic institutions aiming to develop and teach data science skills. It provides a comprehensive suite of analytics tools to support learning across various disciplines.
Pros & Cons
| Pros |
Cons |
| ✔ Fully free for students & educators with university email. |
✖ Limited to academic / noncommercial use only. |
| ✔ Supports SAS, Python, R for flexible analytics learning. |
✖ Resources (compute/storage) might be limited compared to enterprise versions. |
| ✔ Covers full analytics lifecycle: data prep, modeling, deployment. |
✖ Requires a university/academic email to register. |
| Pros |
Cons |
| ✔ Very beginner-friendly |
✖ Limited backlink data compared to Ahrefs |
| ✔ Clean interface |
✖ Less feature depth than Semrush |
| ✔ Helpful community and resources |
✖ Can feel slower at scale |
How It Compares
- Versus Microsoft Azure Machine Learning Studio: SAS Viya for Learners offers a more integrated environment for both coding and visual analytics, whereas Azure ML Studio is more focused on cloud-based machine learning services.
- Versus IBM Watson Studio: While both platforms support multiple programming languages and machine learning workflows, SAS Viya for Learners is specifically designed for educational purposes, providing resources and support tailored to learning environments.
- Versus Google Colab: Google Colab is a free, cloud-based Jupyter notebook environment primarily for Python users, lacking the comprehensive analytics tools and educational resources that SAS Viya for Learners offers.
Bullet Point Features
- Free access for academic, noncommercial use.
- Supports SAS, Python, and R programming languages.
- Cloud-based platform for easy access and collaboration.
- Comprehensive analytics lifecycle support, from data preparation to model deployment.
- Interactive learning resources, including tutorials and e-learning materials.
- Integration with SAS Visual Analytics for advanced data visualization.
- Access to SAS Model Studio for building predictive models.
- Tools for model management and governance.
- Community support through SAS forums and online communities.
- Certification opportunities to validate skills and knowledge.