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Workday HCM Demo New Batches Starting from Wednesday... 26-07-2017
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Base & Adv SAS online training

Base & Adv SAS


As the most complete software for all the needs in data manipulation and data analysis in every aspect, SAS is used as data processing tool by many companies, especially large corporations, where huge amount of data is analyzed to drive the business, such as banks, insurance companies, pharmaceutical companies, even high-tech/Web companies. Demanding of professionals with proficiency of SAS is constantly high in the job market.


  • knowledge in file and variable concepts
  • Access data files on your operating system
  • Understand programming logic concepts such as IF/THEN


  • It is a 20 days program and extends up to 2hrs each.
  • The format is 40% theory, 60% Hands-on.

  • It is a 5 days program and extends up to 8hrs each.
  • The format is 40% theory, 60% Hands-on.
    Private Classroom arranged on request and minimum attendies for batch is 4.

course content

  • SAS Programming
  • SAS Base
    • Use FORMATTED, LIST and COLUMN input to read raw data files
    • Use INFILE statement options to control processing when reading raw data files
    • Use various components of an INPUT statement to process raw data files including column and line pointer controls, and trailing @ controls
    • Combine SAS data sets using the DATA step

  • Creating Data Structures
    • Create temporary and permanent SAS data sets
    • Create and manipulate SAS date values
    • Use DATA Step statements to export data to standard and comma delimited raw data files
    • Control which observations and variables in a SAS data set are processed and output

  • Managing Data
    • Investigate SAS data libraries using base SAS utility procedures
    • Sort observations in a SAS data set
    • Conditionally execute SAS statements
    • Use assignment statements in the DATA step
    • Modify variable attributes using options and statements in the DATA step
    • Accumulate sub-totals and totals using DATA step statements
    • Use SAS functions to manipulate character data, numeric data, and SAS date values
    • Use SAS functions to convert character data to numeric and vice versa
    • Process data using DO LOOPS
    • Process data using SAS arrays

  • Generating Reports
    • Generate list reports using the PRINT and REPORT procedures
    • Generate summary reports and frequency tables using base SAS procedures
    • Enhance reports through the use of labels, SAS formats, user-defined formats, titles, footnotes and SAS System reporting options
    • Generate HTML reports using ODS statements

  • Handling Errors
    • Identify and resolve programming logic errors
    • Recognize and correct syntax errors
    • Examine and resolve data errors

  • SAS Advanced Programming
  • Accessing Data Using SQL
    • Generate detail reports by working with a single table or joining tables using PROC SQL and the appropriate options
    • Generate summary reports by working with a single table or joining tables using PROC SQL and the appropriate options
    • Construct subqueries within a PROC SQL step
    • Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques
    • Access Dictionary Tables using the SQL procedure
    • Demonstrate advanced PROC SQL skills by creating and updating tables, updating data values, working with indexes using the macro interface/creating macro variables with SQL, defining integrity constraints, SQL views and SET operators

  • Macro Processing
    • Creating and using user-defined and automatic macro variables within the SAS Macro Language
    • Automate programs by defining and calling macros using the SAS Macro Language
    • Understand the use of macro functions
    • Recognize various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log

  • Advanced Programming Techniques
    • Demonstrate advanced data set processing techniques such as updating master data sets, transposing data, combining/merging data, sampling data using generation data sets, integrity constraints and audit trails
    • Reduce the space required to store SAS data sets and numeric variables within SAS data sets by using compression techniques, length statements or DATA step views
    • Develop efficient programs by using advanced programming techniques such as permanent formats and array processing

  • Use SAS System options and SAS data set options for controlling memory usage
    • Control the processing of variables and observations in the DATA step
    • Create sorted or indexed data in order to avoid unnecessary sorts, eliminate duplicate data and to provide more efficient data access and retrieval
    • Use PROC DATASETS to demonstrate advanced programming skills (e.g. renaming columns, displaying metadata, creating indexes, creating integrity constraints, creating audit trails)


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