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Introduction
SAS (previously “Statistical Analysis System”) may be a package suite designed by SAS Institute for advanced analytics, variable analyses, business intelligence, knowledge management, and prognosticative analytics.
A00-211 : SAS Certified Base Programmer for SAS 9 exam is administered by SAS and Pearson VUE has created a track for IT professionals to certify as a IT Programer on SAS.This certification program provides SAS professionals a way to demonstrate their skills. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets SAS's proficiency standards.
SAS® Certified Advanced Programmer for SAS®9, candidates who earn this credential must have either SAS Certified Base Programmer for SAS®9 or the SAS Certified Specialist: Base Programming Using SAS 9 accreditation and then take and pass the SAS Advanced Programming for SAS®9 exam.
In this guide, we will cover the A00-211 Exam, A00-211 : SAS Certified Base Programmer for SAS 9 Certified professionals salary and all aspects of the A00-211 : SAS Certified Base Programmer for SAS 9 Certification.
The SAS international Certification Program currently issues versioned accreditation that don't lapse. The version is indicated in the credential name - for example, SAS Certified Base Programmer for SAS 9. Earlier, SAS issued non-versioned credentials and required rE Certification every 3 years, however, with the addition of versioning to the credential names, rE Certification requirements were dropped.
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SASInstitute A00-211 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Getting Started with SAS | - SAS data sets and libraries - SAS environment and program structure |
| Data Manipulation | - Using functions and formats - Conditional processing - Creating and modifying variables |
| Generating Reports and Output | - PROC PRINT and basic reporting - Output Delivery System (ODS) |
| Error Handling and Debugging | - Identifying program errors - Data validation techniques |
| Accessing Data | - Reading raw data files - Importing external data sources |
| Combining and Restructuring Data | - Merging data sets - Concatenating data sets - Reshaping data |
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