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SAS Training


The Statistical Analysis System (SAS) offers a capable, abnormal state programming language; a vast arrangement of implicit scientific and measurable capacities (significantly more noteworthy than Fortran); a cutting edge factual bundle; an intelligent grid dialect; time arrangement investigation; demonstrate fitting by OLS, GLS, MLE for some issues, both straight and nonlinear; designs; and report composing. This is implied as a prologue to feature the most critical charges valuable for those intrigued by utilizing SAS.

In most IBM situations (SAS was at first written in PL/1, a dialect for the IBM), SAS rapidly prompt the death of SPSS and BMD in light of the fact that it was not just a measurable bundle – it was likewise an abnormal state programming dialect like FORTRAN.

Thusly, it was conceivable to control and oversee information preceding an investigation without composing a few distinct projects to get information into the correct arrangement for SPSS. SAS likewise can deliver tables that are composition prepared.

A SAS beginner, in any case, pays for the adaptability by standing up to such an expansive arrangement of choices and operations that it shows up relatively difficult to learn. Generally, the announcements included thus will get you through SAS with no issue.


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SAS programming has substantiated itself as the market pioneer in giving another age of business insight programming and administrations that makes genuine venture insight. The SAS Institute is the world’s biggest secretly held programming organization. It is likewise the main seller that totally incorporates driving information warehousing, examination and conventional BI applications, to make knowledge from huge measures of information. Isn’t that amazing! SAS has a huge part to play in the fate of examination and enormous information. Today everybody in the business world must know about the advantages of having SAS aptitudes and comprehend why these abilities are sought after in present and future markets. As somebody with SAS skill, here are my best reasons why you ought to learn SAS. After you experience them I am certain you will concur with me.You will be awed in the event that you attempt to look for “SAS Jobs” on the web. Your pursuit is certain to turn up numerous present place of employment postings that require an assortment of SAS mastery. Since, SAS develops as a key research information examination device, it is sought after in the showcase. Each organization is searching for SAS assets.

The big advantage of learning SAS is that it is a fourth generation language. It is fun learning SAS. It gives GUI and a simple method to get to different applications. It depends on client composed contents or “projects” that are prepared when asked for to comprehend what to do. Since it is a content based application, the way to being fruitful utilizing SAS is learning the standards and traps of composing contents. It works with expansive information and produce charts and report. SAS can read information documents made by other factual bundles. SAS permits information documents made by SPSS, Excel, Minitab, Stata, Systat, and others to be consolidated into a SAS program specifically or through document transformation programming. In this manner, to experienced clients of these factual bundles, SAS exhibits no danger at all since it is conceivable to change over information records made by these bundles into a SAS document design.

Hye Infotech provides the best training on SAS Training in chennai. We arrange classes based on student feasible timings, to take online or classroom trainings in chennai. We are the Best SAS Training Institute in Chennai as far as SAS syllabus is concerned.

Course Objective

  • Getting Started Using SAS Software
  • The SAS Language
  • SAS Data Sets
  • The Two Parts of a SAS Program
  • The DATA Step’s Built-in Loop
  • Choosing a Mode for Submitting SAS Programs
  • Windows and Commands in the SAS Windowing Environment
  • Submitting a Program in the SAS Windowing Environment
  • Reading the SAS Log
  • Viewing Your Results in the Output Window
  • Creating HTML Output
  • SAS Data Libraries
  • Viewing Data Sets with SAS Explorer
  • Using SAS System Options
  • Chapter 2 Getting Your Data into SAS
  • Methods for Getting Your Data into SAS
  • Entering Data with the Viewtable Window
  • Reading Files with the Import Wizard
  • Telling SAS Where to Find Your Raw Data
  • Reading Raw Data Separated by Spaces
  • Reading Raw Data Arranged in Columns
  • Reading Raw Data Not in Standard Format
  • Selected Informats
  • Mixing Input Styles
  • Reading Messy Raw Data
  • Reading Multiple Lines of Raw Data per Observation
  • Describe Reading Multiple Observations per Line of Raw Data
  • Describe Reading Part of a Raw Data File
  • Controlling Input with Options in the INFILE Statement
  • Reading Delimited Files with the DATA Step
  • Reading Delimited Files with the IMPORT Procedure
  • Reading PC Files with the IMPORT Procedure
  • Reading PC Files with DDE
  • Temporary versus Permanent SAS Data Sets
  • Describe Using Permanent SAS Data Sets with LIBNAME Statements
  • Explain Using Permanent SAS Data Sets by Direct Referencing
  • Listing the Contents of a SAS Data Set
  • Working with Your Data
  • Creating and Redefining Variables
  • Using SAS Functions
  • Selected SAS Functions
  • Using IF-THEN Statements
  • Grouping Observations with IF-THEN/ELSE Statements
  • Subsetting Your Data
  • Working with SAS Dates
  • Selected Date Informats, Functions, and Formats
  • Using the RETAIN and Sum Statements
  • Simplifying Programs with Arrays
  • Using Shortcuts for Lists of Variable Names
  • Sorting, Printing, and Summarizing Your Data
  • Using SAS Procedures
  • Subsetting in Procedures with the WHERE Statement
  • Sorting Your Data with PROC SORT
  • Printing Your Data with PROC PRINT
  • Changing the Appearance of Printed Values with Formats
  • Selected Standard Formats
  • Creating Your Own Formats Using PROC FORMAT
  • Writing Simple Custom Reports
  • Summarizing Your Data Using PROC MEANS
  • Writing Summary Statistics to a SAS Data Set
  • Counting Your Data with PROC FREQ
  • Producing Tabular Reports with PROC TABULATE
  • Adding Statistics to PROC TABULATE Output
  • Enhancing the Appearance of PROC TABULATE Output
  • Changing Headers in PROC TABULATE Output
  • Specifying Multiple Formats for Data Cells in PROC TABULATE Output
  • Producing Simple Output with PROC REPORT
  • Using DEFINE Statements in PROC REPORT
  • Creating Summary Reports with PROC REPORT
  • Adding Summary Breaks to PROC REPORT Output
  • Adding Statistics to PROC REPORT Output
  • Enhancing Your Output with ODS
  • Concepts of the Output Delivery System
  • Tracing and Selecting Procedure Output
  • Creating SAS Data Sets from Procedure Output
  • Using ODS Statements to Create HTML Output
  • Using ODS Statements to Create RTF Output
  • Using ODS Statements to Create PRINTER Output
  • Customizing Titles and Footnotes
  • Customizing PROC PRINT Output with the STYLE= Option
  • Customizing PROC REPORT Output with the STYLE= Option
  • Customizing PROC TABULATE Output with the STYLE= Option
  • Adding Traffic-Lighting o Your Output
  • Selected Style Attributes
  • Modifying and Combining SAS Data Sets
  • Modifying a Data Set Using the SET Statement
  • Stacking Data Sets Using the SET Statement
  • Interleaving Data Sets Using the SET Statement
  • Combining Data Sets Using a One-to- One Match Merge
  • Combining Data Sets Using a One-to- Many Match Merge
  • Merging Summary Statistics with the Original Data
  • Explain the Concept of Combining a Grand Total with the Original Data
  • Updating a Master Data Set with Transactions
  • Using SAS Data Set Options
  • Explain the Concept Tracking and Selecting Observations with the IN= Option
  • Writing Multiple Data Sets Using the OUTPUT Statement
  • Making Several Observations from One Using the OUTPUT Statement
  • Changing Observations to Variables Using PROC TRANSPOSE
  • Using SAS Automatic Variables
  • Writing Flexible Code with the SAS Macro Facility
  • Macro Concepts
  • Substituting Text with Macro Variables
  • Creating Modular Code with Macros
  • Adding Parameters to Macros
  • Writing Macros with Conditional Logic
  • Writing Data-Driven Programs with CALL SYMPUT
  • Debugging Macro Errors
  • Using Basic Statistical Procedures
  • Examining the Distribution of Data with PROC UNIVARIATE
  • Producing Statistics with PROC MEANS
  • Testing Categorical Data with PROC FREQ
  • Examining Correlations with PROC CORR
  • Using PROC REG for Simple Regression Analysis
  • Reading the Output of PROC REG
  • Using PROC ANOVA for One-Way Analysis of Variance
  • Reading the Output of PROC ANOVA
  • Graphical Interfaces for Statistical Analysis
  • Exporting Your Data
  • Methods for Exporting Your Data
  • Writing Files Using the Export Wizard
  • Writing Delimited Files with the EXPORT Procedure
  • Writing PC Files with the EXPORT Procedure
  • Writing Raw Data Files with the DATA Step
  • Writing Delimited and HTML Files using ODS
  • Sharing SAS Data Sets with Other Types of Computers
  • Debugging Your SAS Programs
  • Writing SAS Programs That Work
  • Fixing Programs That Don’t Work
  • Searching for the Missing Semicolon
  • Note: INPUT Statement Reached Past the End of the Line
  • Note: Lost Card
  • Note: Invalid Data
  • Note: Missing Values Were Generated
  • Note: Numeric Values Have Been Converted to Character (or Vice Versa)
  • DATA Step Produces Wrong Results but No Error Message
  • Introduction To SAS/ SQL
  • Features
  • Uses
  • Terminology
  • Data Types, Key Words, & Operators
  • Functions, Predicates
  • Formatting Output
  • Group By Clause
  • Order By Clause
  • Having Clause
  • Case Expression And Conditional Logic
  • Creating ,Populating & Deleting Tables
  • Alter Table Statement
  • Changing Column’s Length
  • Joins
  • Constraints
  • Renaming A Table & Columns
  • Views

Best SAS Training:

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