SAS can be described as the software around which the whole analytics industry was built……well that may be an exaggeration, but SAS commands on overwhelming market share in the advanced analytics tools. As per an IDC report SAS has a 35% market share, more than double its nearest competitor. It has been around for more than 45 years and is now synonymous with Analytics.
About SAS
Who should take this Training?
Business Intelligence professionals
Software developers and architects
Project managers
ETL, SQL, data warehouse and analytics professionals
Mainframe and testing professionals
Graduates wanting to enter Big Data analytics
Prerequisites
Basic knowledge of SQL can help.
Course Content
Day 1 :
Introduction To SAS System & Architecture
Brief discussion on SAS Product Suites.
Introduction to ETL and Reporting Concepts.
Introduction to SAS interface.
The Microsoft Windows User Interface
The Editor Window
The Log window
Output Window
Explorer Window
Results Window
SAS Variables & Datasets.
Dataset Options with examples.
Operators in sas.
Introduction to SAS Libraries and options.
Reading Raw data
Infile Statement With Options
Working With External Files & Options
Handling multiple observations.
Day 2:
Input
Date Functions
Mathematical & Numerical Functions
SAS ODS :
· Creating RTF File
· Creating Html File
· Creating Pdf File
Day 3:
Conditional Execution on SAS.
Where
If/Else
Case statement
Do loops
Merging in SAS
First. And last.
Overview Of Methods For Combining Sas Data Sets.
Creating and drooping variables in a dataset.
Arrays and Array Processing.
BASE SAS PROCEDURES
Proc sort
Proc Print
Proc Means
Proc Freq
Proc Copy
Proc Summar
Proc Append
Proc Dataset
ProcContents
Proc Delete
Proc Format
Proc Import
Proc Export
· Frequency Report
· One-Way Frequency Report
· Cross Tabular Frequency Report
· Summary Statistics
Day 4:
Creating A List Report
· Define Statement
· Order Usage and Group
· Tabulate Procedure
· One-Dimensional Tables
· Two-Dimensional Tables
· Obtaining A Total
· Analysis Variables with options
· Summary Statistics
Introduction to SAS Sql:
· Introduction To SAS/ SQL
Features
·Uses
Terminology
Data Types, Key Words, & Operators
· Formatting Output
· Group By Clause
· Order By Clause
· Having Clause
· Case Expression and Conditional Logic.
· Creating ,Populating & Deleting Tables
· Alter Table Statement
· Changing Column’s Length
· Joins
· Renaming A Table & Columns
· Views
Day 5 :
Introduction to SAS Macros :
· Macro Concepts
· Macros And Macro Variables
· Creating Macro Variables
· Using Macro Variables
· Creating Modular Code With Macros
· Invoking A Macro
· Adding Parameters To Macros
· Macros With Conditional Logic
· Using Various Procedures In Macros
· Automatic Variables
· Macro Functions
· Including External Macros
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