Course Curriculum
Computer System Analyst - SAS
Total # of Hours: 120
Starting Date: 04/05/2018
Location
ALPHAPRIMETECH
112 New South Road,
Hicksville, NY
11801
+1 (212) 629 - 7366
admin@alphaprimetech.org
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.
