BASICS BEFORE STARTING SAS
Before starting with SAS, learn What is DataWarehouse, OLAP and ETL concepts.
DATA WAREHOUSING Concepts
What is ETL and ETL Concepts
What is OLAP
Base SAS provides a scalable, integrated software environment specially designed for data access, transformation and reporting.
What is SAS
History of SAS
Modules available in SAS
Accessing data that is stored in a SAS data set is a fundamental operation in SAS. In this module, we will provide, How to access data from existing dataset and also how to use various components to process raw data file.
Accessing data from FLAT 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
Accessing data from a Database
Access an Excel workbook
Accessing data from existing SAS dataset
Creating Data Sets
You supply SAS with specific information for reading raw data so that you can create a SAS data set from the raw data and you can use the data set for further processing, data analysis, or report writing.
Create temporary and permanent SAS data sets
Combining SAS Data Sets
Understanding How Data Sets Are Read
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.
Learn, different types of SAS Functions, How to convert SAS function Character data to numeric, sorting techinques in data sets and also how to investigate on SAS data libraries..
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 and Process data using SAS arrays
Validate and clean data.
This module focus on how to Generate reports and listing up reports using PRINT procedure.,
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
Error handling refers to the anticipation, detection, and resolution of programming, application, and communications errors. In this module, you will learn to identify, resolve and correct the errors..
Identify and resolve programming logic errors
Recognize and correct syntax errors
Examine and resolve data errors.
Accessing Data Using SQL
Using SQL, SAS users can create SAS datasets from, and manage the data contained in, relational databases. In this module, will let you know how to join tables, Differentiate between solving a problem using SQL procedure and traditional SAS programming techinques.
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.
This section describes macro processing and shows the typical pattern that SAS follows to process a program containing macro elements. In this module, we will provide you, How to create data driven programs, Calling macros using SAS Macro Language, creating an user defined variables and uses of different types of macros functions.
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
This module is for SAS programmers who prepare data for analysis. The comparisons of manipulation techniques and resource cost benefits are designed to help programmers choose the most appropriate technique for their data situation.
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.