About The Course:-
SAS (Statistical Analysis System) is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics. SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated.
Who Should Take this?
Graduates / Post graduates from Engineering, Science, MBA, MCA background
Upon the completion of this course,you will be acknowledge of the industry real world stories on SAS and data analysis/modeling, and independently solve the problems.
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 Structure
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.
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.
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
Identify and resolve programming logic errors
Recognize and correct syntax errors
Examine and resolve data errors
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.