SAS Advanced Analytics Professional
The SAS Certified Advanced Analytics Professional program represents Level 2 of the SAS Academy for Data Science. Students learn a variety of machine learning and predictive modeling techniques, and how to apply the techniques to big distributed and in-memory data sets. Students also learn about experimentation in business, optimization, and time series forecasting, as well as the essential communication skills necessary to deliver value to the organization.
The course work, hands-on practice, and projects help prepare students for the three exams needed to become a SAS Certified Advanced Analytics Professional. Exams are included.Learn how to
Who should attendIndividuals with a least six months of programming experience in SAS or another programming language, and at least six months of experience using mathematics, statistics, or both in a business environment. A master's degree or higher in a quantitative or technical field is recommended but not required.
To enroll in the advanced analytics certification program, you need at least six months of programming experience in SAS or another programming language, and at least six months of experience using mathematics, statistics, or both in a business environment. We also recommend that you first complete the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course, which is available as an instructor-led or free online e-learning course.
The curriculum includes the following courses: