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SAS

Madiwala, Bangalore

2 Reviews
0 Interested

About the Course


This SAS training class covers SAS Base and Advanced Modules.
• SAS/BASE
• SAS/SQL
• SAS/MACROS
• SAS/GRAPHS
• SAS/STAT
• SAS/ACCESS
• SAS/ODS

Topics Covered

1. Introduction
• How to Use this Document
• Little Bit History About SAS
• What is SAS?
• Launching SAS
• Windows in SAS for Windows
• Menus in SAS
• Working within SAS
• Using the Cursor
• Using Icons
• Using the Enhanced Editor
• Writing a SAS Program: the DATA Step

2. Introduction to SAS Programming
• Introduction to SAS®
• SAS® Software Versions
• Using SAS for Windows
• System Requirement
• Installing SAS® 9.1.3 for MS.Windows,Unix,Linux,Vms,Open/390
3. Accessing Data
• Introduction
• LIST,COLUMN,FORMTTED AND NAMED input to read raw data
• Using Various Components of an INPUT Statement
• Importing raw data from Excel files, Text files, CSV files, ODBC and Access files Etc... using the import procedure, data step and Import wizard
• Set statement to read and combine SAS data sets
• Using the merge statement to combine SAS data sets
• Appending multiple SAS data sets
• Explaining about User created functions and system defined functions
• Explaining about Types of functions such as Character, Numeric, statistical or mathematical and date or time functions
• Statements and types, global statements and local statements
• Using loops for easy manipulations
• SQL procedure to create data sets
• SQL procedure to query multiple tables
4. Creating Data Structures
• Introduction
• Creating temporary and permanent SAS data sets
• Preparing temporary libraries and permanents libraries
• Applying conditional assignments and conditional subsets
• Using data step statements to export(or write) data to a file
• Exporting data to excel and access using the export procedure
• Understanding how the data step is compiled and executed
• Using data dynamic exchange(DDE) to import excel data
• Exporting SAS files to Excel Using DDE.
5. Managing Data
• Introduction
• Modifying variable attributes in the data set
• Assignment statement to accumulate variable values across executions of the data step
• Using SAS functions to manipulate character data, numeric data, and SAS date and time values
• Creating User defined in formats and Formats
• Changing SAS default setting using system options, data step options and statement options
• Use system defined and user defined formats
• Use system defined and user defined in formats
• Use SAS functions to convert character data to numeric data and vice versa
• Processing data using SAS arrays
• Sorting observations in a SAS data set
• Using SAS utility procedure to investigate SAS data libraries



6. Generating Reports
• Introduction
• Generating reports using the PRINT,MEANS,FREQ,TABULATE,REPORT etc…procedures
• Generating HTML, RTF, PDF, EXCEL, TEXT, CSV, and PDF reports using ODS statements
• Enhancing reports with options and statements


7. Handling Errors
• Introduction…
• Recognizing and correcting syntax and non-syntax errors
• Examining and resolving data errors
• Program debugging techniques
SAS Statistics
8. Descriptive Statistics
• Introduction statistics
• Overview
• Data Presentation
• Data Characteristics: Descriptive Summary Statistics
• Probability: Basic Concepts
• Basic Probability Distribution
• Sampling & Estimation
9. Categorical data Analysis
• Introductions
• Procedures
• Cross tabulations
• Frequencies from one way frequencies to N way frequencies
10. Hypothesis Testing
• T-Test : Testing differences between two means
• Random assignment of subjects
• Two independent samples : Distribution free tests
• One-tailed vs. two tailed tests
• Paired t-tests(related samples)
11. Hypothesis Testing (More than two groups)
• One-way analysis of variance
• Analysis of variance : two independent variables
• Interpreting significant interactions
• N-way factorial designs
• Unbalanced designs: Proc GLM

12. Regression Analysis
• Introduction
• Simple regression and multiple regression analysis
• Logistic regression
• Non-experimental regression
• Interpretation about statistics such as (R square, adjusted R square, etc…..)

13. Correlation Analysis
• Introduction
• Positive correlation and negative correlation
• Multiple correlation and partial correlation
• Linear and non-linear correlation
SAS Macros
• Introduction
• Creating macro variables
• Reusing macro variable
• Working with system defined macro variables and user defined macro variables
• Converting Global macro variables into local macro variables vice versa
• Functions and routines, its different
• Introduction to Macro Processing
• Defining and Calling Macros
• How the Macro Processor Compiles a Macro Definition
• How the Macro Processor Executes a Compiled Macro
• Summary of Macro Processing
• System defined macro options
• Creating macro and Reusing macro
• Executing a macro program
• Passing values to a macro program through macro parameters
• Using SAS Base functions and Proc SQL statements in SAS macros
• Using conditional statements in macros
• Manipulating SAS Base programs to macros
• Macro quoting functions
• Macro facility error messages and debugging
• Using the stored compiled macro facility for saving macro
• Arithmetic and logical expressions
• Reading external files using macros
• Writing SAS files using macros
• Stepwise method for writing macro programs
• Saving Macros in an Auto call Library
• Saving Macros Using the Stored Compiled Macro Facility
SAS SQL
• Introduction to the SQL Procedure
• What Is SQL?
• What Is the SQL Procedure?
• Comparing PROC SQL with the SAS DATA Step
• Creating data sets using SQL procedure
• Overview of the query window
• Retrieving Data from a Single Table
• Retrieving Data from Multiple Tables
• Creating and Updating Tables and Views
• Inserting Rows into Tables
• Updating Data Values in a Table
• Deleting Rows and Tables
• Altering Columns
• Creating an Index
• Using SQL Procedure Tables in SAS Software
• Creating and Using Integrity Constraints in a Table
• Using PROC SQL Options to Create and Debug Queries
• Improving Query PerformanceHYPERLINK "a001385596.htm"Accessing SAS System Information Using DICTIONARY Tables
• Using the Output Delivery System (ODS) with PROC SQL
• Performing simple queries
• Combine tables using inner join, outer join(outer left join, outer right join, outer full join)
• Summarizing groups of data
• Sub setting groups of data
• Handling missing values
• Handling embedded blanks in column names
• Using SAS base functions in SQL
• Building calculated columns
• Reading oracle data tables into SAS by pass through facility
• Connecting to Oracle, DB2, SYBASE, EXCEL, ACCESS, ODBC, OSIRIS, REMOTE, SPDE, SPSS, TERADATA, XML, AND XPORT engines etc…. to import data sets
• Explaining about conditional statements
• Modifying variables using Base Options in SQL
• Creating macro variables in SQL

SAS Graphs
• Introduction
• Drawing graphs by programming and menu driven
• Using colors and images
• Language Elements
• SAS Data Sets
• Using Engines with SAS/GRAPH Software
• Running SAS/GRAPH Programs
• Procedure Output and the Graphics Output Area
• Printing Graphics Output
• Storing Graphics Output in SAS Catalogs
• Modifying SAS/GRAPH Output
• Transporting and Converting Graphics Output
• Using SAS/GRAPH Colors and Images
• Specifying Colors in SAS/GRAPH Programs
• Specifying Images in SAS/GRAPH Programs
• GChart
• GPlot
• Vbar
• Hbar
• Block bar
• Star chart
• Pie chart
• Histogram
• Box plot
• Probability plot
• Scatter plot (two dimensional and three dimensional)
• Surface plot
SAS ODS
• Creating HTML outputs Using ODS
• Creating HTML outputs with a Table of Contents
• Selecting ODS tables for Display
• Excluding ODS tables for Display
• Exporting SAS outputs
• Preparing PDF,RTF,CSV,XML,HTML files using ODS
• Creating an output data set from an ODS tables
• Generating outputs in colors
• Creating an output data set from sub setting the data
• Determining the Names of ODS Tables
• Using the TEMPLATE Procedure to Customize Output
• Creating HTML Output, Linked Within a Single Analysis
• Creating HTML Output, Linked Between Analyses

Who should attend

Any graduate/MBA/Post Graduates

Pre-requisites

No pre-requisites

What you need to bring

Nothing

Key Takeaways

SAS Programming.
Data preparation using SAS,
Statistical Analysis using SAS and Reporting in SAS
Reviews

Recommendations & reviews from previous Customers:

POOJA O S

"Complete Analytics is a well experienced institute. I have taken the SAS course, the course was excellent. It is the best center for SAS course. Trainer is very knowledgeable and friendly with the students. I wish to thanks to my teacher as well as institute. "

attended SAS


Suresh

"Complete Analytic is a well experienced training institute. Good personal attention I got trained on SAS course Course is exhaustive. What I like the most is the personal attention given to each student based on one's grasping & understanding capabilities. "

attended SAS


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Recommendations & reviews from previous Customers:

POOJA O S

"Complete Analytics is a well experienced institute. I have taken the SAS course, the course was excellent. It is the best center for SAS course. Trainer is very knowledgeable and friendly with the students. I wish to thanks to my teacher as well as institute. "

attended SAS


Suresh

"Complete Analytic is a well experienced training institute. Good personal attention I got trained on SAS course Course is exhaustive. What I like the most is the personal attention given to each student based on one's grasping & understanding capabilities. "

attended SAS


Date and Time

Not decided yet.

About the Trainer

Gouda

M.Sc (6 years experience and Certified trainer)


Experience in SAS for 6 years.
Certified trainer having experience all multiple project/domain
Seats Left-

Students Interested 0

Course Id: 13802