Software Training Institute in Chennai with 100% Placements – SLA Institute

SAS Course Syllabus

(1724)
Live Online & Classroom Training
duration
2-3 Months
EMI
0% Interest
Mode
Live Online & Classroom Training
The SAS Course Syllabus by SLA Institute is the latest and best. It is framed by experts who have good knowledge of  SAS. We aim to mold our students as well-matched candidates for SAS jobs. Our trainer makes sure that the syllabus makes sense to the participants.

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Course Syllabus

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  • Introduction
  • Need For SAS
  • Who Uses SAS
  • What Is SAS?
  • Overview Of Base SAS Software
  • Data Management Facility
  • Structure Of SAS Dataset
  • SAS Program
  • Programming Language
  • Elements Of The SAS Language
  • Rules For SAS Statements
  • Rules For Most SAS Names
  • Special Rules For Variable Names
  • Types Of Variables
  • Data Analysis And Reporting Utilities
  • Traditional Output
  • Ways To Run SAS Programs
  • SAS Windowing Environment
  • Noninteractive Mode
  • Batch Mode
  • Interactive Line Mode
  • Running Programs In The SAS Windowing Environment
  • Writing Your First SAS Program
  • A Simple Program To Read Raw Data And Produce A Report
  • Enhancing The Program
  • More On Comment Statements
  • Internal Processing In SAS
  • How SAS Works
  • The Compilation Phase
  • The Execution Phase
  • Processing A Data Step A Walkthrough
  • Creating The Input Buffer And The Program Data Vector
  • Writing An Observation To The SAS Data Set
  • Four Types Of SAS Libraries
  • SAS Libraries
  • Work Library
  • SAShelp Library
  • SASuser Library
  • What Is Raw Data
  • Definitions
  • Data Values
  • Numeric Value
  • Character Value
  • Standard Data
  • Nonstandard Data
  • Numeric Data
  • Character Data
  • Choosing An Input Style
  • List Input
  • Modified List Input
  • Column Input
  • Formatted Input
  • Named Input
  • Instream Data
  • Creating Multiple Records From Single Input Row
  • Reading Data From External Files
  • Reading Blank Separated Values (List Or Free Form Data)
  • Reading Raw Data Separated By Commas (.Csv Files)
  • Reading In Raw Data Separated By Tabs (.Txt Files)
  • Using Informats With List Input
  • Supplying An Informat Statement With List Input
  • Using List Input With Embedded Delimiters
  • Reading Raw Data That Are Aligned In Columns
  • Method 1 Column Input
  • Method 2 Formatted Input
  • Using More Than One Input Statement The Single Trailing @
  • Reading Column Data That Is On More Than One Line
  • Mixed-Style Input
  • Infile Options For Special Situations
  • Flow Over
  • Missover
  • Trun Cover
  • Pad
  • Using Lrecl To Read Very Long Lines Of Raw Data
  • Checking Your Data After It Has Been Read Into SAS
  • Introduction
  • Set Statement Overview
  • Automatic Variables In SAS
  • Interleave Multiple SAS Data Sets
  • Combine Multiple SAS Data Sets
  • Creating & Modifying Variables
  • Creating Multiple Data Sets In A Single Data-Step
  • Sub Setting Observations
  • Conditional SAS Statements
  • Logical And Special Operators
  • The SAS Supervisor And The Set Statement
  • Efficiency And The Set Statement
  • Know Your Data
  • Set Statement Data Set Options
  • Drop And Keep Options
  • Rename Option
  • Firstobs And Obs Options
  • In Option –
  • Where Option –
  • Other Set Statement Options
  • End Option
  • Key Option
  • Nobs Option
  • Point Option
  • Do Loops And The Set Statement
  • Introduction To Retain Statement
  • Carry Over Values From One Observation To Another
  • Compare Values Across Observations
  • Assign Initial Values
  • Determining Column Order In Output Dataset
  • SAS System Options
  • Input SAS Data Set For Example
  • Selecting Observations For A New SAS Data Set
  • Deleting Observations Based On A Condition
  • Accepting Observations Based On A Condition
  • Comparing The Delete And Sub Setting If Statements
  • Methods Of Creating New Data Sets With A Subset
  • Sub Setting Records From An External File With A Sub Setting If Statement
  • Sub Setting Observations In A Data Step With A Where Statement
  • Sub Setting Observations In A Proc Step With A Where Statement
  • Sub Setting Observations In Proc SQL
  • Difference Between If And Where

The SAS Course Syllabus at SLA Institute is really good for people who want to learn SAS programming and data analysis. It teaches you how to handle data and do analysis and reporting, which is what you will be doing on the job. The SAS Course Syllabus at SLA Institute gives you the kind of experience that you can use in the world. The SAS Course Syllabus at SLA Institute helps people get jobs in data analytics, research, and business intelligence.

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