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Online SAS 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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