SAS Academy for Data Science: Text Analytics, Time Series, Experimentation, and Optimization
SAS Academy for Data Science: Text Analytics, Time Series, Experimentation, and Optimization is the third of three modules in the SAS Certified Advanced Analytics Professional credential, which is Level 2 of the SAS Academy for Data Science. Students extend their skills beyond predictive modeling with structured data.
This module also includes access to SAS software for practice.
The coursework, hands-on practice, and projects help prepare students for the third of three exams needed to become a SAS Certified Advanced Analytics Professional.
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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.