Using SAS Viya REST APIs with Python and R

Statistical Analysis System, widely known as SAS, is a leading analytics and AI software company established in 1976 that supports organizations across healthcare, finance, government, and academia. While not a traditional university, SAS plays a major educational role through its analytics platforms, research collaborations, and partnerships with colleges and universities. Its tools are used for statistical analysis, predictive modeling, machine learning, and enterprise intelligence.

For international students pursuing data science, analytics, or related fields, SAS offers a range of learning pathways including certification programs, instructor-led courses, online training, and academic alliances with more than 40 program tracks and learning modules. These resources are designed to develop practical skills in real-world problem solving, from data preparation and visualization to advanced modeling and deployment. Students can access hands-on labs, community forums, and sanctioned curricula that align with industry expectations.

Engagement with SAS technologies can significantly enhance employability in a competitive job market where analytics expertise is in demand. Prospective learners should explore university partnerships, internship opportunities, and certification routes that complement degree programs. International applicants can benefit from SAS learning resources to build portfolios, demonstrate technical competence to employers, and transition more smoothly into analytics roles globally.

The Using SAS Viya REST APIs with Python and R program is for students who want to learn about data analysis. It's a non-degree program that takes place online over several weeks. The main advantage is that you can learn from home.

This program teaches you how to use SAS Viya REST APIs with Python and R. You will learn about data manipulation and analysis. The program also includes hands-on components to help you practice your skills.

After completing this program, you can work as a Data Analyst, Business Intelligence Developer, or Statistical Analyst. You can also work in industries like finance or healthcare for employers such as research institutions or government agencies.