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SAS Online Training



SAS Online Training Course Content


•	History of SAS
•	SAS comes in ERP sector or not? Why?
•	Role of Statistical Analysis in Clinical Research Study and Banking analysis
•	SAS role in Clinical Research Study and Banking analysis
•	Project Management in Clinical Research Study analysis and Banking analysis
•	What is Clinical Research Study?
•	What is Protocol and role of Protocol in Clinical Research Study?
•	What is randomization and non randomization? Which is playing main role in 
        Clinical Research Study?
•	What is SOP (Standard Operating Procedure)?
•	What is DBMS?
•	Role of DBMS team in Clinical Research Study
•	What is CDM (Clinical Data Management)?
•	Importance of CDM systems for data loading
•	What is SAP (Statistical Analysis Plan)?
•	Role of SAP in Clinical Research Study
•	SAS Work Flow in Clinical Research Study
•	Relation between SAS and DBMS
•	Interaction between SAS with CDMs for data access
•	Various report generation in Clinical Research Study



GETTING STARTED WITH SAS SYSTEMS:
•	Basic operating system commands, operating system file structures
•	Managing windows in SAS window environment
•	Use of different kind of SAS products and how to use in SAS application.
•	Difference between the SAS products.
•	Why using the SAS in different sectors.
•	How to use the data step  to read and manipulate complex forms of  data
•	Write Data and Proc steps.
•	Data step compile and execution
•	To run SAS application on different modes
•	Reading internal  reading and printing l raw data into SAS
•	Read any type of external raw data into SAS
•	Reading raw data SAS environment into DATA SET  using Input statement
        & advance INLIFE  statement options
•	Working with Data Storage in SAS libraries creation for user defined
        libraries and multi-engine architecture
•	Using a single libref to reference some or all SAS libraries reading
        and printing mixed records formats.
•	Reading packed and zoned decimal data working with EBCDIC and ASCII data
•	Reading data from data set to another data set.
•	To manage the SAS window environment used with global options.
•	Reducing memory requirements with BUFFNO and BUFSIZE working with SAS data set options
•	To manage existing data with controlling statements and expressions
•	Creating Summary Information, SAS  Functions, Transforming Data
•	Changing variable types using the PUT and INPUT functions summarizing data files
•	Generation data sets to create historical information SAS 
•	To expert data from data sets to delimiter files using with data set block
•	Understand error messages in the SAS Log and debug your program
•	Use with Error Handling concepts

PERFORM ITERATIVE PROCESSING ON DATA:
•	Using Do loops for repetitive calculations and processing
•	Using Arrays to process across an observations and processing
•	Using DO WHILE and DO UNTIL statements for conditional looping

DATA STORAGE METHODS AND COMPRESSION:
•	SAS Engines 
•	Space reduction
•	Data set compression


INDEXING TECHINIQUES AND USES:
•	When to use indexes
•	Creating and deleting indexes
•	Index advantages and disadvantages

UTILITIES TO MANAGE AND WORK WITH DATASETS:
•	Data using append procedure to add date values in existing dataset
•	Using the update statement to update data in existing dataset.
•	Using the MODIFY statements to update and modify data in place
•	Merging concepts
•	Data transformation
•	Concatenation concept in merging
•	Interleaving concept and merging
•	Different kind of match merging using MERGE statement using the
        contribution (IN=) option  in merge  concept
•	Using ODS concept to generate reports

RELEVANT BASE SAS PROCEDURES: 

•	Organize and sort SAS data sets and working with duplicates
•	To generate listing output use print
•	Comparing data sets with proc compare
•	To create user defined informat and format statements use format
•	Using proc copy to copy  data sets
•	Importance of contents procedure
•	Reading data from dataset for reporting use report 
•	Using  Proc Datasets to modify data set structure , attributes, how  to
        use permanent formats , Setting  up Integrity Constraints to maintain 
        clean data and Setting up indexes
•	Role of ODS concepts to reporting SAS output
•	To generate SAS output in different panels like RTF, HTML,PDF and XML Using ODS

How to use PROC SQL to retrieve INFORMATION from their Data

•	Introduction to SQL Concepts
•	The origin of SQL and why we use it.
•	Create new tables, indexes , views and reports

Simple Queries
•	Understanding to SQL Concepts
•	How to specify columns and subset rows
•	Using functions to summarize and group data
•	Ordering data and formatting out
•	Performing group analysis, remerging and sub queries

Joining Data

•	What are Cartesian Products , what is join
•	Inner , FULL,OUTER,LEFT and RIGHT Joins
•	Set Operator us such as union and intersection joining multiple tables
•	PROC SQL as compared to the data step

WORKING WITH TABLES , VIEWS AND indexes

•	Creating Indexes and table in SQL
•	Why we use Views in SQL
•	Performance and space ISSUES

ADVANCED SQL Topics

•	HOW TO USE SAS MACROS IN SQL
•	How dictionary table and views can simplify programming SQL options
•	How to retrieve Raw data different from DATABASES to SAS environment using SQL Statements
•	To create table in different databases using SAS sql statement
•	To manage in different databases using SAS Sql Statements

PASS TROUGH FACILITY

•	Uses of pass through facility
•	How to communicate with other database like Access , Oracle, DB2
•	To control and manage other databases fro the SAS.
•	To access required data from other databases
•	To create DATAWAREHOUSING environment

Basic Statistical Procedures (SAS/STAT) and reporting Procedure

•	To summary statistical Analysis Summary Procedure 
•	Producing Statistical with means Procedure 
•	Testing Categorical Data with FREQ PROCEDURE 
•	Reporting areas in SAS
•	To generate report use with Proc Report
•	Examining Data with Univarate Procedure 
•	T-tests and non parametric Comparison
•	Proc ANOVA for one way ANOVA for one way Analysis of Variance
•	Examining Correlations with PROC CORR
•	PROC REG for Regression Analysis


Creating bar & PIE Charts

•	Producing BAR & pie chart
•	Enhancing O/P with Title FOOTNOTES Color & font
•	Producing & Overlaying lots
•	CONTROLLING Appearance of axe’s
•	Generating Graphs use with ODS

How to work with SAS/ACCESS & SAS /Connect

•	To import data from different PC files use import procedure
•	To export data from different source use access procedure
•	To export data from datasets to different PC files use export Procedures
•	Uses of DBLoad procedure and how  to work
•	To transport datasets one environment to another environment and one 
        version to another version to another version (windows to UNIX)use 
        with cprot and cimport procedures
•	How to use Upload Procedure
•	How to use Download Procedure

How to work with MACRO LANGUAGE INTRODUCTION to MACROS

•	How the SAS macros Language Works
•	What is the role of macro in SAS
•	Introduction to tokening , compiling and executing a SAS program
•	How the macro Processor Works

Applying MACRO VARIABLES in a SAS PROGRAM

•	Applying automatic macro variables
•	Designing customized macro variables
•	Submitting the macro variables in SAS Programming
•	Displaying MACRO VARIABLES VALUES in the SAS log
•	Applying quoting functions with macros

Incorporating SAS Macros in the DATA STEP

•	Designing macro variables during Data step Execution
•	In directing referencing Macro variables
•	Resolving Macro variables during DATA STEP EXECUTION
•	Under staining the functionality and application of the SYSMGET function and SYSMPUT routine
•	Using the INTO clause to build macro variables during PROC SQL execution



RUNNING MACRO PROGRAMS IN SAS SOFTWARE

•	Designing and implementing simple macros and reduce customizing SAS application
•	To Develop Reusable Application use with MACRO
•	Specifying conditional coding inside a  macro
•	The macro compilation and execution processes in the macro processor
        SAS system options used for debugging macros
•	Reviewing error and warning log messages displayed by the macro processor
•	Designing and using macros containing parameters within them 
•	Using positional and keyword parameters in macro calls
•	Difference macros and symbol table Hierarchies
•	Concepts in MACRO FUNCTIONS, MACRO INTERFACE AND MACRO Quoting
        Functions and how to use MACRO CODING.

Techniques for Storing MACROS

•	Understanding the auto call feature
•	Permanently storing and using compiled macros
•	Writing Efficient macro programs

DEBUGGING SAS PROGRAMS

•	SAS programs that work
•	Fixing Programs that don’t work
•	Searching for the missing semicolon
•	Input statement reaching past the end of line
•	Lost card
•	Invalid Data
•	How to handle different kind of SAS errors
•	Missing VALUES were Generated
•	Numeric values have been converted to Character
•	WRONG results but no error message
•	The data step Debugger
•	SAS Truncated a character variable
•	SAS stops in the middle of the job
•	SAS runs pout of memory or disk space

Statistical DATAWAREHOUSING
•	DATAWAREHOSING Concepts
•	What is ETL
•	SAS/ETL Concepts
•	What is OLAP
•	SAS./OLAP Concepts
•	Role of Pass through to create Data warehousing Environment

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Upcoming Demos

  • Informatica 9 Free Demo :
    We have scheduled Informatica Free demo on 14th May 2013 at 9.30 PM CST (15th May 2013 8 AM IST). If you are interested to attend the demo please click here.


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