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SAS advanced Training

This course represents the upper echelon of SAS programmers. Those who earn the advanced programming credential have demonstrated a high level of proficiency in SAS programming expertise and are a much sought after commodity in the global job market.

Course Content: 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 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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