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Sas online training institute

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  • 1. #506,5th Floor,Huda Maitrivanam,Ameerpet, Hyderabad – 500016. www.mindmajix.com Email: info@mindmajix.com SAS BASICS BEFORE STARTING SAS: • DATAWAREHOSING Concepts • What is ETL • ETL Concepts • What is OLAP SAS Introduction: • What is SAS • History of SAS • Modules available SAS Accessing Data • Accessing data from FLAT 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. • Accessing data from a Database • Access an Excel workbook. • Accessing data from existing SAS dataset Creating Data Sets • Create temporary and permanent SAS data sets. • Combining SAS Data Sets • Understanding How Data Sets Are Read • Export data to create 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.
  • 2. #506,5th Floor,Huda Maitrivanam,Ameerpet, Hyderabad – 500016. www.mindmajix.com Email: info@mindmajix.com • 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. • Validate and clean data. Generating Reports • Generate list reports using the PRINT procedure. • Generate summary reports and frequency tables using base SAS procedures. • Enhance reports through the use of user-defined formats, titles, footnotes and SAS System reporting. • Generate reports using ODS statements. Handling Errors • Identify and resolve programming logic errors. • Recognize and correct syntax errors. • Examine and resolve data errors. Accessing Data Using SQL • Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure. • Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure. • Construct sub-queries and in-line views within an SQL procedure step. • Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques. • Access Dictionary Tables using the SQL procedure. Macro Processing • Create and use 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. • Use various system options that are available for macro debugging and displaying values of user- defined and automatic macro variables in the SAS log. • Create data-driven programs using SAS Macro Language.
  • 3. #506,5th Floor,Huda Maitrivanam,Ameerpet, Hyderabad – 500016. www.mindmajix.com Email: info@mindmajix.com Advanced Programming Techniques • Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and combining/merging data. • Reduce I/O by controlling the space required to store SAS data sets using compression techniques, length statements, or eliminating variables and observations. • Reduce programming time by developing reusable SAS programs which incorporate data step views, DATA steps that write SAS programs, and the FCMP procedure. • Perform effective benchmarking by using the appropriate SAS System options and interpreting the resulting resource utilization statistics. • Determine the resources used by the SORT procedure and avoid unnecessary sorts by using appropriate indexes, data set options, BY statement options, and the CLASS statement. • Identify appropriate applications for using indexes and create them using the DATA step, the DATASETS procedure, or the SQL procedure. • Compare techniques to eliminate duplicate data using the DATA step, the SORT procedure, and the SQL procedure.

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