Statistical Thinking for Industrial Problem Solving, presented by JMP

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 Statistical Thinking for Industrial Problem Solving program, presented by JMP, is a non-degree program that teaches statistical thinking for problem-solving. It is offered in English, available online, and lasts several weeks. The program is suitable for students with a pre-high school education level.

The curriculum focuses on statistical thinking, data analysis, and problem-solving. Students will learn to collect and analyze data, identify patterns, and make informed decisions. The program includes interactive exercises to help students apply statistical concepts to real-world problems.

Graduates can pursue careers as Quality Control Managers, Industrial Engineers, or Data Scientists. They can work in industries like manufacturing, pharmaceuticals, or technology, for employers like factories, research labs, or software companies.