This comprehensive SAS programming course is specially designed for both undergraduate and graduate students seeking to build strong foundations in data manipulation, AI-assisted ML and model analysis, and reporting with applications in economics, statistics, business, and other data-driven analytics. The program also includes exposure to SAS cloud-based integration with SQL, Python and R, providing students with a versatile set of modeling and data-based reporting skills.
Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.