Course Name     :  SAS online training

Course Duration :  45 Hours

SAS

SAS EXPOSURE IN ORGANISATIONS

• 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
• Data modeling and Data mining concepts
• 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
• Role of SAS in Credit Analysis and Different Banking Channels.
• When we go any industry for Data modeling and Data mining.
• Role of SAS in Data modeling and Data mining
• Other types of modeling—data mining etc…

GETTING STARTED WITH SAS SYSTEMS:

• Basic operating system commands, operating system file structures
• Managing windows in SAS window environment
• How to run SAS application in different modes and in different environment like
• Windows, Unix and Mainframes
• 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 Consraints 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 outputs
• Performing group analysis, remerging and sub quiries

Joining Data

• What are Cartesian Products , what is join
• Innner , 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

ORKING WITH TABLES , VIEWS AND indexes

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

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

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 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
• Indirecting referencing Macro variables
• Resolving Macro variables during DATA STEP EXECUTION
• Understaining the functionality and application of the SYSMGET function and SYSMPUT routine
• Usinig 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 use dfor debugging macros
• Reviewing error and warning log messages displayed by bthe 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
• Fixining Programs that don’t work
• Seraching 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 Charcter
• WRONG results but no error message
• The data step Debugger
• SAS Trucated a character variable
• SAS stops in the middle of the job
• SAS runs pout of memeory or disk space

Statistical DATAWAREHOUSING

• DATAWAREHOSING Concepts
• What is ETL
• SAS/ETL Concepts