Description
SAS Advance(C DISC) : Want to get ahead in a crowded job market? Get certified with SAS. This course is the first in a series by the SAS Institute, designed to prepare you for the SAS 9.4 certification exam. Learn SAS programming essentials to handle the most common data-processing tasks with SAS code. Our trainers are real time working professionals who explores the programming tools, SAS Studio and SAS Enterprise Guide, along with the structure and syntax of a typical SAS program.
SAS certifications are globally recognized, so having them on your résumé proves you've received in-depth training from industry experts.
Getting certified earns you a digital badge to share on social media sites. Your peers and potential employers will know what you've accomplished.
SAS skills are highly in demand among today's employers. Learning – and validating – those skills can lead to new opportunities.
Validating your skills in today’s competitive market by achieving a certification is a no-brainer. Not only can you prove your skills to yourself, but also to current and future employers.
Adding a SAS Programming certification to your portfolio is a great way to demonstrate your skills and abilities. From creating basic summary reports using Base SAS procedures, to manipulating data and using advanced statements to solve complex problems – a SAS Programming Certification is the foundation of your future in the world of analytics.
Advanced SAS Programming for R Users explores sophisticated techniques and concepts that can help you apply your understanding of R—the language of big data—in the SAS environment at an advanced level. In this course, Jordan Bakerman walks through several advanced SAS programming concepts. To begin, he covers the basics of the Interactive Matrix Language (IML), and discusses random number generation in IM
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BASE/SAS
• Introduction to SAS
• Introduction to SAS windows
• Introduction to SAS Libraries
• SAS program objectives
• System defined options(global options)
• Data step options
• Global statements
• Data step statements
• Keep, drop, label, rename, where, length etc…
• Informant and format statements
• Combining, modifying & updating datasets
• DATA Step Processing
• Retain statement
• Control statements
• Input styles
• Infile statement
• File statement
• Automatic Variables
• Arrays
• Pointers
• SAS Functions
• Logical Variables
• ODS Statement
UTILITY procedures
• Proc Print
• Proc Sort
• Proc Contents
• Proc Append
• Proc Transpose
• Proc Compare
• Proc Options
• Proc Forms
• Proc Datsets
• Proc Copy
• Proc Calendar
• Proc Format
• Proc Import
• Proc Export
• Proc Cport
• Proc Cimport
• Proc Printto
• Proc Delete
REPORTING Procedures
• Proc Tabulate
• Proc Report
• Proc Chart
• Proc Gchart
• Proc Plot
• Proc Gplot
• Graph-N-Go
SAS/STAT
• Univariate Procedure
• Means Procedure
• Frequency Procedure
• Correlation Procedure
• Reg Procedure
• Anova Procedure & Glm Procedure
• Rank Procedure
• Forecast Procedure
SAS/SQL
• Creating, insert data into, alter, updating table
• Where, order by, group by, having, distinct
• Functions
• Options
• Joins
• Set operators
• Integrity Constraints
• Pass Through Facility (PTF)
SAS/MACROS
• Introduction to Macros
• Macro processing
• Macro Variables
• Control statements in Macros
• Macro Parameters
• Macro Functions &Macro quoting functions
• Datastep Functions in macro language
• Auto call libraries