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SAS

SAS Online Training | SAS Training Course Details

Statistical Analysis System (SAS) is a software suite that has been developed by SAS Institute, one of the leaders in analytics. It is useful for performing advanced analytics, multivariate analyses, business intelligence, data management functions, and also for conducting predictive analytics.

Why we use SAS , SAS is basically worked on large datasets. With the help of SAS software you can perform various operations on the data like

  • Data Management
  • Statistical Analysis
  • Report formation with perfect graphics
  • Business Planning
  • Operations Research and project Management
  • Quality Improvement
  • Application Development
  • Data extraction
  • Data transformation
  • Data updation and modification

There are various types of SAS software that are available.In general there are 4 types of SAS software which are given below.

SAS for Windows

SAS EG (Enterprise Guide)

SAS Enterprise Miner (EM)

SAS Stat Software

The most used software among the above types is SAS for Windows. It can be easily deployed and allows for modernization of your SAS environment by enabling grid processing.

SAS Base & Advance SAS Online Training Course Content

  • What is SAS and Basics of SAS
  • History Of Sas
  • Functionality Of Sas
  • Architecture Of Sas
  • Sas Program Rules
  • File Elements Of Sas
  • Sas Names & Rule
  • Missing Data
  • Types Of Variables
  • How Sas System Read Values Into Variables
  • Lengths of Variables
  • Sas Windowing Environment
  • Sas Program & Components Of Sas Program
  • Creation Of Libraries
  • Member Types
  • Datasets
  • Views
  • Catalogs
  • Indexes
  • Sas Programming (Briefly)
  • Data Step
  • Proc Step
  • Global Options
  • Global Statements
  • Backend Process Of SAS Program
  • Installation Process
  • ETL Concepts
  • BEGIN WITH DATASTEP
  • Data Step & Purpose of Data Step
  • Data Statement & Dataset Options
  • Infile Statement & Options
  • Input Statement & Types of Input & Options
  • Datalines / Cards Statement (or) Datalines4 / Cards4 Statement
  • Run Statement / Quit Statement
  • ATTRIBUTES OF VARIABLES
  • Data Types
  • Label Statement
  • Length Statement
  • Informat Statement
  • Format Statement
  • How Dates Works In Sas
  • System Defined / User Defined Informats & Formats
  • OTHER SAS STATEMENTS
  • Keep Statement
  • Drop Statement
  • Rename Statement
  • Replace Statement
  • Sum Statement
  • Retain Statement
  • Goto Statement
  • Link Statement
  • Return Statement
  • Output Statement
  • Stop Statement
  • CONDITIONAL STATEMENTS
  • If Statement
  • If Then Statement
  • If Then Else Statement
  • If Then Delete Statement
  • If Then Remove Statement
  • If Then Output Statement
  • If Then Do Statement
  • If Then Do While Statement
  • If Then Do Until Statement
  • If Then Goto Statement
  • Where Statement
  • Operators
  • Arithmetic Operators
  • Comparison Operators
  • Logical Operators
  • Expressions
  • LOOPS
  • Do Statement
  • Do Iterative Statement
  • Do While Statement
  • Do Until Statement
  • End Statement
  • Output Statement
  • Stop Statement
  • ARRAY
  • Why Do We Need Arrays?
  • Basic Array Concepts
  • Array Statement
  • Array References
  • Variable Name Array Reference
  • Using Array Indexes
  • One Dimension Arrays&Multi-Dimension Arrays
  • Temporary Arrays
  • Sorting Arrays
  • Determining Array Bounds: Lbound And Hbound Functions
  • When To Use Arrays
  • Common Errors And Misunderstandings
  • Invalid Index Range
  • Function Name As An Array Name
  • Array Referenced In Multiple Data Steps, But Defined In Only One
  • BY – GROUP PROCESSING
  • Definitions For By-Group Processing
  • By-Group Processing
  • Sorting Data (Proc Sort)
  • By Value&By Group
  • Variable And Last.Variable
  • Modifying Sas Data Sets: Examples.
  • Invoking By-Group Processing
  • Preprocessing Input Data For By-Group Processing
  • Sorting Observations For By-Group Processing
  • Indexing For By-Group Processing
  • How The Data Step Identifies By Groups
  • Processing Observations In A By Group
  • How Sas Determines First.Variable And Last.Variable
  • Processing By-Groups In The Data Step
  • Processing By-Groups Conditionally
  • Data Not In Alphabetic Or Numeric Order
  • Data Grouped By Formatted Values
  • COMBINING SAS DATA SETS
  • Concatenation
  • Interleaving
  • Merge
  • Update
  • Modify
  • FUNCTIONS (100 + Functions)
  • Character / String Functions
  • Numeric Functions
  • Date Functions
  • REVIEW OF DATASTEP
  • SAS – PROCEDURES (PROC STEP)
  • What Is Proc Step
  • Purpose Of Proc Step
  • Types of Procedures
  • DATA ACCESS PROCEDURES
  • Sql Pass Thru Query (Proc Sql)
  • Proc Access
  • Proc Dbload
  • Libname Facility
  • Proc Import
  • Proc Export
  • UTILITY PROCEDURES
  • Proc Contents
  • Proc Setinit
  • Proc Options
  • Proc Pwencode
  • Proc Copy
  • Proc Delete
  • Proc Printto
  • Proc Sort
  • Proc Compare
  • Proc Append
  • Proc Datasets
  • Proc Format
  • Proc Rank
  • Proc Transpose
  • Proc Template
  • Proc Forms
  • Proc Catalog
  • Proc Cport
  • Proc Cimport
  • Proc Upload
  • Proc Download
  • Proc Migrate
  • STATISTICS & STATISTICAL PROCEDURES
  • Proc Means
  • Proc Summary
  • Proc Univariate
  • Proc Freq
  • Proc Corr
  • Proc Reg
  • Proc Anova
  • Proc Glm
  • Proc Lifetest
  • Proc Lifereg
  • Proc Logistics
  • Proc Npar1way
  • Proc Ttest
  • REPORTING PROCEDURES
  • Proc Print
  • Proc Tabulate
  • Proc Report
  • Data Step Reporting (_Null_ Reporting)
  • GRAPHICAL PROCEDURES
  • Proc Gchart
  • Proc Gplot
  • Proc Sgplot
  • Proc Gis
  • Proc Gmap
  • REVIEW OF PROCSTEP
  • ODS (OUTPUT DELIVERY SYSTM)
  • SAS DDE (Dynamic Data Exchange)
  • DICTIONARY TABLES
  • LIST OF GLOBAL STATEMENTS
  • LIST OF GLOBAL OPTIONS
  • PROC SQL
  • INTRODUCTION TO THE SQL PROCEDURE
  • RETRIEVING DATA FROM A SINGLE TABLE
  • RETRIEVING DATA FROM MULTIPLE TABLES
  • CREATING AND UPDATING TABLES AND VIEWS
  • PROGRAMMING WITH THE SQL PROCEDURE
  • PRACTICAL PROBLEM-SOLVING WITH PROC SQL
  • SAS/MACROS
  • PERFORMANCE TUNING CONCEPTS
  • TESTING & DEBUGGING TECHNIQUES
  • ERROR HANDLING
  • FEATURES BETWEEN SAS VERSIONS V9
  • SAS WITH UNIX/LINUX ENVIRONMENT

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