SAS Academy for Data Science: Advanced Predictive Modeling
SAS Academy for Data Science: Advanced Predictive Modeling is the second of three modules in the SAS Certified Advanced Analytics Professional credential, which is Level 2 of the SAS Academy for Data Science. Students take a deeper dive into a variety of machine learning and predictive modeling techniques, and they learn how to apply those techniques to distributed and in-memory data sets. Students also learn how to incorporate models from open source software and include them in model comparison and score code.
This module also includes access to SAS software for practice.
The coursework, hands-on practice, and projects help prepare students for the second of three exams needed to become a SAS Certified Advanced Analytics Professional.
Learn how to
Who should attend
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 or 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 course or a free online e-learning course.
A master's degree or higher in a quantitative or technical field is recommended but not required.