SAS Academy for Data Science: Data Science
This SAS Academy for Data Science package includes both levels of the academy:
In the Advanced Analytics Professional level, students learn a variety of machine learning and predictive modeling techniques as well as 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.
The coursework, hands-on practice, and projects help prepare students for the two exams needed to become a SAS Certified Big Data Professional and the three exams needed to become a SAS Certified Advanced Analytics Professional. Students who earn both credentials also earn the SAS Certified Data Scientist credential. Exams are included in the Academy package.Learn how to
Who should attendBusiness analysts, programmers, or statisticians with at least six months of experience writing programs in SAS or in another programming language
It is recommended that you have at least six months of experience writing SAS programs or using another programming language. The coursework builds on the concepts presented in the SAS Programming 1: Essentials course, which is available as an instructor-led or free online e-learning course.
The comprehensive curriculum includes the following courses: