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, how to apply the techniques to big distributed and in-memory data sets, experimentation in business, optimization, time series forecasting and the essential communication skills necessary to deliver value to the organization.
The course work, hands-on practice and projects will help prepare you 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.Learn how to
Who should attendBusiness analysts, programmers, or statisticians with at least six months of experience writing SAS programs or another programming language
If you do not have the prerequisites, complimentary attendance at the following SAS courses on successful registration of the SAS Academy for Data Science may be offered subject to availability (please contact SAS Education for further information).
In addition the SAS Programming 1: Essentials course (which is the content of the first half of the SAS Programming Fast Track course) is available as a free online e-learning course, should you wish to brush up on your SAS programming skills.
The SAS Certified Data Scientist comprises of both the SAS Certified Big Data Professional and SAS Certified Advanced Analytics Professional which include the courses listed below. As part of the Academy, there will be opportunities to complete case studies, participate in review sessions, network with peers and have ongoing access to your Academy coach and mentors. The Academy course content is delivered over several weeks to allow for private study between sessions, please review the Timetable.