SAS Online Training

• 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.

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.

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.

Advanced SAS

Duration: 10-15 hours

• 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.