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Computer Systems Analyst – SAS


Course Curriculum

Accessing Data

  • Use FORMATTED and LIST 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
  • Access an Excel workbook

Creating Data Structures

  • Create temporary and permanent SAS data sets
  • Create and manipulate SAS date values
  • 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
  • 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.

Advanced Programming Techniques

  • Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and combining/merging data
  • Reduce computing resource requirements 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
  • 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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