SAS Academy for Data Science: Advanced Analytics
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, 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 three exams needed to become a SAS Certified Advanced Analytics Professional. Exams are included.Learn how to
Who should attendBusiness analysts, programmers or statisticians, who want to deepen their advanced analytics knowledge and skills. A strong background in applied mathematics is needed. (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 and/or statistics in a business environment. Before attending, you should:
The SAS Certified Advanced Analytics Professionalcomprises of the courses listed below. In addition, 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. Please note: the SAS Certified Advanced Analytics Professional course content is delivered over several weeks to allow for private study between sessions, please review the Timetable.
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|SAS Academy for Data Science: SAS Certified Advanced Analytics Professional||210.0 hours||365 days||English||2,800 NZD|