SAS Academy for Data Science: Big Data Professional
The SAS Certified Big Data Professional program represents Level 1 of the SAS Academy for Data Science. Students learn critical SAS programming skills; introductory statistics; data management and manipulation; data quality techniques, visual data exploration, and how to work with SAS, Hadoop, and Hive.
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. Exams are included.Learn how to
Who should attendBusiness analysts, programmers, or statisticians with at least six months of experience writing SAS programs or another programming language
To enrol in the SAS Certified Big Data Professional program, you need at least six months of programming experience in SAS. Specifically, you should be able to do the following:
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 Academy for Data Science: Big Data Professional comprises 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 Academy for Data Science: Big Data Professional course content is delivered over several weeks to allow for private study between sessions, please review the timetable.