SAS Online Training

Introduction:

SAS Training: Learn SAS Programming basics, creating SAS Data sets, Managing Data, SAS Analytics and Reporting, How to access data from existing dataset and also how to use various components to process raw data file, Handling Errors, MacroProcessing. You will also get an exposure to industry based real-time projects in various verticals.

Course Content:

1.Base SAS Training Course Content

a.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

b.SAS Introduction

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

c.Accessing Data

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

d.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.

e.Managing Data

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.

f.Generating Reports

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

g.Handling Errors

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.

h.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.

i.Macro Processing

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.

j.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.

2.Advanced SAS Training

a.Accessing Data

This module trains you about how to access data from existing SAS dataset, Use of INFILE Statement, Various components of an INPUT statement, How trailing works to access data from database and many more..

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

b.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.

c.Managing Data

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, Process data using SAS arrays
  • Validate and clean data.

d.Generating Reports

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 and titles
  • Footnotes and SAS System reporting
  • Generate reports using ODS statements.

e.Handling Errors

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.

f.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.

g.Macro Processing

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 macro 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

h.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.

 

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