Data Analysis and Reporting in SAS Visual Analytics

Applications are due Anytime, while tuition is $120 USD.

The Data Analysis and Reporting in SAS Visual Analytics program is for students who want to learn data analysis. It's a non-degree program that takes a few weeks to complete and is taught in English. You'll get to learn from the Statistical Analysis System (SAS) in California.

This program will help you learn specific skills like data analysis and reporting using SAS Visual Analytics. You'll get hands-on experience with data visualization and reporting tools.

After completing this program, you can work as a Data Analyst, Business Intelligence Developer, or Operations Analyst. You can also work in industries like finance, healthcare, or technology, and companies like banks, hospitals, or consulting firms may hire you.

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.