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

• recognize and overcome big data challenges
• implement critical SAS programming techniques
• access, transform, and manipulate data
• improve data quality for reporting and analytics
• apply fundamental statistical techniques
• work with SAS, Hadoop, and Hive
• explore and visualize your data.

Who should attend

Business analysts, programmers, or statisticians with at least six months of experience writing SAS programs or another programming language

Formats available	Standard duration
Classroom:	30.0 days

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:

• understand your operating system file structures and perform basic operating system tasks
• understand programming logic concepts
• understand the compilation and execution processes of the DATA step
• use SAS libraries to access data
• use different varieties of input to create SAS data sets from external files
• use SAS software to access SAS libraries
• create and use SAS date values
• read, concatenate, merge, match-merge, and interleave SAS data sets
• use the DROP=, KEEP=, and RENAME= data set options
• create multiple output data sets
• use one-dimensional array processing and DO loops to process data iteratively
• use SAS functions to perform data manipulation and transformations
• write macro programs that contain iterative processing and conditional processing
• create macro variables using the SYMPUTX routine
• have some familiarity with writing basic SQL programs.

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).

• SAS Programming Fast Track
• SAS Macro Language 1: Essentials

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.

• Big Data Challenges and Analysis-Driven Data
• Exploring Data with SAS Visual Analytics
• Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
• Preparing Data for Analysis and Reporting
• Introduction to SAS and Hadoop: Essentials
• DS2 Programming Essentials with Hadoop
• Big Data Analysis with Hive and Pig
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