Best Clinical SAS Training in Chennai | SAS Course Chennai | Aimore Technologies

Clinical Sas Training

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Best SAS Clinical Training in Chennai

If you are on lookout for one of the Best Clinical SAS training Institutes in Chennai, having offered many IT solutions to many top corporate firms. Aimore does not offer conventional and traditional coaching but offers a mix of practical sessions which helps to shape and mould the students into successful IT professionals.

If you are on lookout for one of the Best Clinical SAS training Institutes in Chennai, having offered many IT solutions to many top corporate firms.

Aimore does not offer conventional and traditional coaching but offers a mix of practical sessions which helps to shape and mould the students into successful IT professionals.
Read more

  • Overview of Clinical SAS
  • Syllabus
  • Why Clinical SAS
  • To Whom
  • Certification
  • Trainer Profile
  • Key Features

Clinical SAS Course Syllabus

The syllabus is meticulously prepared to meet the changing industry requirements, the content is regularly updated and the candidate can gain a holistic understanding of clinical SAS through our Clinical SAS Training in Chennai.

  • Introduction of SAS software.
  • Industries using SAS
  • Components of SAS System.
  • Architecture of SAS system.
  • Functionality of SAS System.
  • Introduction of SAS windows

Working in the SAS Environment

  • Functionality of SAS Windows.
  • Creating and managing SAS Libraries.
  • Overview of SAS Data states.
  • Types of Libraries.
  • Storing files temporarily and permanently.
  • Referencing SAS files.

Creation database from raw data

  • Steps to create a SAS dataset.
  • Creating SAS dataset using text file.
  • Creating SAS dataset using text file with delimiters.
  • Creating SAS dataset using structured text file.
  • Creating SAS dataset using unstructured text file.
  • Creating SAS dataset using Excel file.
  • Creating SAS dataset using Access file.
  • Creating SAS dataset using values inside the code.

Output delivery system

  • Concepts of output delivery system.
  • How ODS works and viewing output of ODS in different format.
  • HTML, RTF, PDF etc..

Combination the dataset

  • One-o-one reading
  • One to many
  • Many to many
  • Concatenation
  • Interleaving,
  • Match merge

Functions

  • Character function
  • Numerical function
  • Arithmetical function
  • Mathematical function
  • Date Function

Loops in SAS: Do Loops

  • Do Loop
  • Do While
  • Do Until

Array

  • Definition of array
  • Example of array

PROCEDURES

  • Procedure Format.
  • Procedure Contents.
  • Procedure Options.
  • Procedure Append.
  • Procedure Compare.
  • Procedure Transpose.
  • Procedure Print.
  • Procedure Import.
  • Procedure Export.
  • Procedure Datasets.
  • Procedure Tabulate.
  • Procedure Chart, Gchart, Gplot.
  • Procedure Report.

GRAPHS

  • Introduction to graphics.
  • Introduction to graphics.
  • Types of Graphics (with latest models)
  • Defining procedure Graphics.

Advance SAS Topic

ProcSql

  • Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Construct sub-queries and in-line views within an SQL procedure step.
  • Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.

Macro

  • Create and use user-defined and automatic macro variables within the SAS Macro Language.
  • Automate programs by defining and calling macros using the SAS Macro Language.

Understand the use of macro functions.

Introduction of SAS and Clinical research

  • SAS role in Clinical Research.
  • What is Clinical trial?
  • What is Protocol and role of Protocol in Clinical Research?
  • Which is playing main role in Clinical Research?

Clinical Trials Data Structures

  • Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.).
  • Identify key CDISC principals and terms.
  • Describe the structure and purpose of the CDISC SDTM data model.
  • Describe the structure and purpose of the CDISC ADaM data model.
  • Describe the contents and purpose of define.xml.

Transform Clinical Trials Data

  • Apply categorization and windowing techniques to clinical trials data.
  • Transpose SAS data sets.
  • Apply ‘observation carry forward’ techniques to clinical trials data (LOCF, BOCF, WOCF).
  • Calculate ‘change from baseline’ results.

Advanced .Net Course Syllabus

Overview of the ASP.NET MVC

  • Introduction of ASP.NET MVC
  • Role of Model, View, and Controller
  • How ASP.NET MVC Works
  • Benefits of using ASP.NET MVC
  • Comparison of ASP.NET VS ASP.NET MVC
  • Summary

Getting Started with MVC and its Action Result type

  • Understanding the structure of an ASP.NET MVC project
  • Creating views
  • Defining controllers
  • Defining a data model
  • Overview of coding standards follows during programming
  • Types of Action Result in MVC
  • Summary

Creating an application in MVC using Razor View Engine

  • Creating strongly-typed views
  • Understanding URLs and action methods
  • TempData, view Bag and View Data with example
  • Data Annotations
  • Validation in MVC
  • Razor Basics and Implementation of Razor view
  • Accessing Model Data in Razor views
  • Defining and using HTML Helpers
  • Defining and Designing a layout Page
  • Defining and using partial views

Using AJAX and jQuery with ASP.NET MVC

  • Overview of AJAX
  • Using AJAX Action Links
  • Overview of jQuery
  • jQuery Techniques
  • Using post and get methods in jquery
  • Using AJAX and Jquery in MVC with Example

Overview of Entity Framework and its approaches

  • Over View of Entity Framework
  • Code First Approach with example
  • Model First Approach with example
  • Database First Approach with example

Working with ASP.NET MVC Applications using EF Approaches Code First, Model First, Database first

  • ASP.NET application architecture best practices
  • Implementing a Repository and Entity Framework Data Model
  • Define Dependency Injection
  • Using Dependency Injection
  • Accessing a Repository in controller

Import and Export Excel file in MVC

  • Basics of I/O classes in MVC
  • Basics of input and output streams.
  • Create the excel document with records and create the view to upload/import the excel
  • How to import an excel from view to the database
  • Export the Data from Database to excel
  • Summary

Convert web grid into PDF file in MVC

  • Create the view using web grid
  • How to convert the webgrid into pdf
  • Summary

Sending Emails

  • Designing email panel
  • How to send an email to various users
  • Sending auto emails
  • Summary

Integration of WCF service with MVC

  • Basics of WCF service creation
  • WCF and its types of contracts
  • How to consume the WCF service with MVC
  • Summary

Introduction to drug discovery and development process

  • Overview of highly regulated drug development process, from discovery to bringing a biopharmaceutical product to market.
  • Understanding major phases (Phase I – IV) of clinical trials and clinical data management
  • Food and Drug Administration (FDA) regulations and Guidance (21 CFR part 11, GCP, eCTD)
  • Regulatory overview and approval process including IND/NDA to FDA
  • Types and parameters of Clinical trial
  • Getting in depth knowledge about the functional group and working of CRO/Pharmaceutical industry and knowing in and out of guidelines pertaining to company involved in clinical trials
  • Learning about the general department structure of pharmaceutical industry, roles and responsibilities of SAS programmer in the company
  • Understanding clinical study and documents {e.g. Protocols, Case Report Form (CRF), annotated and electronic Case Report Form (aCRF and eCRF), Statistical Analysis Plan (SAP)}
  • Learning more about types of analysis in clinical trials (Pharmacokinetic, Pharmacodynamics, Efficacy, Safety, etc.)

Introduction to Clinical Trial Data

  • Learn to prepare and clean clinical trial data
  • Know how to categorize and summarize clinical data
  • Studying and classifying different types of clinical trial data {Safety (ISS) and Efficacy (ISE) Data}
  • Getting acquainted with new Clinical Data Interchange Standards Consortium (CDISC)
  • Implementation in categorizing clinical data.

Using SAS to Create Analysis Data sets

  • Key concepts for creating and transforming analysis data sets (Using DATA steps and PROC TRANSPOSE)
  • Comparing Data sets using PROC COMPARE
  • Understanding and creating Time-to-Event, Change-from-Baseline, Critical variables data sets.

Generate Customized Clinical Trials Tables, Listings and Graphs/Figures

  • Using PROC TABULATE to create clinical trial tables
  • Using PROC REPORT to report clinical trials tables and listing
  • Creating summaries of Adverse Event, Concomitant medication, Laboratory data using DATA steps and various SAS Procedures
  • Creating Kaplan-Meier Survival Tables using PROC LIFETEST or PROC GPLOT
  • Using ODS with PROC REPORT and PROC TABULATE to generate nice looking tables and Listings.
  • Generating Graphs and Plots using SAS/BASE, SAS STAT and SAS/GRAPH
  • Producing Bar and Pie charts using PROC GPLOT and PROC GCHART
  • Creating Box and Scatter Plot using PROC BOXPLOT, PROC GPLOT and PROC UNIVARIATE

Performing Common Analyses and Obtaining Statistics

  • Obtaining Descriptive Statistics
  • Obtaining Inferential Statistics from Categorical Data
  • Analysis
  • Obtaining Inferential Statistics from Continuous Data
  • Analysis
  • Obtaining Time-to-Event Analysis Statistics

Performing Common Analyses and Obtaining Statistics

  • Using the SAS XPORT Transport Format
  • Creating XML Files

Who should take up SAS certification training in Chennai?

  • Software Developers and Architects
  • Business Intelligence Professionals
  • Project Managers
  • ETL, SQL professionals
  • Data Warehousing Professionals
  • Analytics Professionals
  • Mainframe Professionals
  • Testing Professionals
  • Graduates keen on diving into Big Data Analytics domain

Here we list some of the prominent data science certifications:

  • Microsoft Certified Solutions Expert (MCSE)
  • Cloudera Certified Professional
  • SAS certified data scientist

Trainer Profile

Aimore Trainers give total opportunity to the understudies, to investigate the subject and learn dependent on constant models. Our coaches help the up-and-comers in finishing their undertakings and even set them up for inquiries questions and replies.
Competitors are allowed to pose any inquiries whenever.

More than 10+ Years of Experience.

Prepared more than 2000+ understudies in a year.

Solid Theoretical and Practical Knowledge.

Confirmed Professionals with High Grade.

Very much associated with Hiring HRs in worldwide organizations.

Master level Subject Knowledge and completely state-of-the-art on certifiable industry applications.

Coaches have Experienced on various ongoing undertakings in their Industries.

Our Trainers are working in global organizations, for example,ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies and so on

Clinical SAS Course Syllabus The syllabus is meticulously prepared to meet the changing industry requirements, the content is regularly updated and the candidate can gain a holistic understanding of clinical SAS through our Clinical SAS Training in Chennai.

  • Introduction of SAS software.
  • Industries using SAS
  • Components of SAS System.
  • Architecture of SAS system.
  • Functionality of SAS System.
  • Introduction of SAS windows
Working in the SAS Environment
  • Functionality of SAS Windows.
  • Creating and managing SAS Libraries.
  • Overview of SAS Data states.
  • Types of Libraries.
  • Storing files temporarily and permanently.
  • Referencing SAS files.
Creation database from raw data
  • Steps to create a SAS dataset.
  • Creating SAS dataset using text file.
  • Creating SAS dataset using text file with delimiters.
  • Creating SAS dataset using structured text file.
  • Creating SAS dataset using unstructured text file.
  • Creating SAS dataset using Excel file.
  • Creating SAS dataset using Access file.
  • Creating SAS dataset using values inside the code.
Output delivery system
  • Concepts of output delivery system.
  • How ODS works and viewing output of ODS in different format.
  • HTML, RTF, PDF etc..
Combination the dataset
  • One-o-one reading
  • One to many
  • Many to many
  • Concatenation
  • Interleaving,
  • Match merge
Functions
  • Character function
  • Numerical function
  • Arithmetical function
  • Mathematical function
  • Date Function
Loops in SAS: Do Loops
  • Do Loop
  • Do While
  • Do Until
Array
  • Definition of array
  • Example of array
PROCEDURES
  • Procedure Format.
  • Procedure Contents.
  • Procedure Options.
  • Procedure Append.
  • Procedure Compare.
  • Procedure Transpose.
  • Procedure Print.
  • Procedure Import.
  • Procedure Export.
  • Procedure Datasets.
  • Procedure Tabulate.
  • Procedure Chart, Gchart, Gplot.
  • Procedure Report.
GRAPHS
  • Introduction to graphics.
  • Introduction to graphics.
  • Types of Graphics (with latest models)
  • Defining procedure Graphics.
Advance SAS Topic ProcSql
  • Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Construct sub-queries and in-line views within an SQL procedure step.
  • Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.
Macro
  • Create and use user-defined and automatic macro variables within the SAS Macro Language.
  • Automate programs by defining and calling macros using the SAS Macro Language.
Understand the use of macro functions. Introduction of SAS and Clinical research
  • SAS role in Clinical Research.
  • What is Clinical trial?
  • What is Protocol and role of Protocol in Clinical Research?
  • Which is playing main role in Clinical Research?
Clinical Trials Data Structures
  • Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.).
  • Identify key CDISC principals and terms.
  • Describe the structure and purpose of the CDISC SDTM data model.
  • Describe the structure and purpose of the CDISC ADaM data model.
  • Describe the contents and purpose of define.xml.
Transform Clinical Trials Data
  • Apply categorization and windowing techniques to clinical trials data.
  • Transpose SAS data sets.
  • Apply ‘observation carry forward’ techniques to clinical trials data (LOCF, BOCF, WOCF).
  • Calculate ‘change from baseline’ results.
Read more

Advanced .Net Course Syllabus

Overview of the ASP.NET MVC

  • Introduction of ASP.NET MVC
  • Role of Model, View, and Controller
  • How ASP.NET MVC Works
  • Benefits of using ASP.NET MVC
  • Comparison of ASP.NET VS ASP.NET MVC
  • Summary

Getting Started with MVC and its Action Result type

  • Understanding the structure of an ASP.NET MVC project
  • Creating views
  • Defining controllers
  • Defining a data model
  • Overview of coding standards follows during programming
  • Types of Action Result in MVC
  • Summary

Creating an application in MVC using Razor View Engine

  • Creating strongly-typed views
  • Understanding URLs and action methods
  • TempData, view Bag and View Data with example
  • Data Annotations
  • Validation in MVC
  • Razor Basics and Implementation of Razor view
  • Accessing Model Data in Razor views
  • Defining and using HTML Helpers
  • Defining and Designing a layout Page
  • Defining and using partial views

Using AJAX and jQuery with ASP.NET MVC

  • Overview of AJAX
  • Using AJAX Action Links
  • Overview of jQuery
  • jQuery Techniques
  • Using post and get methods in jquery
  • Using AJAX and Jquery in MVC with Example

Overview of Entity Framework and its approaches

  • Over View of Entity Framework
  • Code First Approach with example
  • Model First Approach with example
  • Database First Approach with example

Working with ASP.NET MVC Applications using EF Approaches Code First, Model First, Database first

  • ASP.NET application architecture best practices
  • Implementing a Repository and Entity Framework Data Model
  • Define Dependency Injection
  • Using Dependency Injection
  • Accessing a Repository in controller

Import and Export Excel file in MVC

  • Basics of I/O classes in MVC
  • Basics of input and output streams.
  • Create the excel document with records and create the view to upload/import the excel
  • How to import an excel from view to the database
  • Export the Data from Database to excel
  • Summary

Convert web grid into PDF file in MVC

  • Create the view using web grid
  • How to convert the webgrid into pdf
  • Summary

Sending Emails

  • Designing email panel
  • How to send an email to various users
  • Sending auto emails
  • Summary

Integration of WCF service with MVC

  • Basics of WCF service creation
  • WCF and its types of contracts
  • How to consume the WCF service with MVC
  • Summary
Read more

Introduction to drug discovery and development process

  • Overview of highly regulated drug development process, from discovery to bringing a biopharmaceutical product to market.
  • Understanding major phases (Phase I – IV) of clinical trials and clinical data management
  • Food and Drug Administration (FDA) regulations and Guidance (21 CFR part 11, GCP, eCTD)
  • Regulatory overview and approval process including IND/NDA to FDA
  • Types and parameters of Clinical trial
  • Getting in depth knowledge about the functional group and working of CRO/Pharmaceutical industry and knowing in and out of guidelines pertaining to company involved in clinical trials
  • Learning about the general department structure of pharmaceutical industry, roles and responsibilities of SAS programmer in the company
  • Understanding clinical study and documents {e.g. Protocols, Case Report Form (CRF), annotated and electronic Case Report Form (aCRF and eCRF), Statistical Analysis Plan (SAP)}
  • Learning more about types of analysis in clinical trials (Pharmacokinetic, Pharmacodynamics, Efficacy, Safety, etc.)

Introduction to Clinical Trial Data

  • Learn to prepare and clean clinical trial data
  • Know how to categorize and summarize clinical data
  • Studying and classifying different types of clinical trial data {Safety (ISS) and Efficacy (ISE) Data}
  • Getting acquainted with new Clinical Data Interchange Standards Consortium (CDISC)
  • Implementation in categorizing clinical data.

Using SAS to Create Analysis Data sets

  • Key concepts for creating and transforming analysis data sets (Using DATA steps and PROC TRANSPOSE)
  • Comparing Data sets using PROC COMPARE
  • Understanding and creating Time-to-Event, Change-from-Baseline, Critical variables data sets.

Generate Customized Clinical Trials Tables, Listings and Graphs/Figures

  • Using PROC TABULATE to create clinical trial tables
  • Using PROC REPORT to report clinical trials tables and listing
  • Creating summaries of Adverse Event, Concomitant medication, Laboratory data using DATA steps and various SAS Procedures
  • Creating Kaplan-Meier Survival Tables using PROC LIFETEST or PROC GPLOT
  • Using ODS with PROC REPORT and PROC TABULATE to generate nice looking tables and Listings.
  • Generating Graphs and Plots using SAS/BASE, SAS STAT and SAS/GRAPH
  • Producing Bar and Pie charts using PROC GPLOT and PROC GCHART
  • Creating Box and Scatter Plot using PROC BOXPLOT, PROC GPLOT and PROC UNIVARIATE

Performing Common Analyses and Obtaining Statistics

  • Obtaining Descriptive Statistics
  • Obtaining Inferential Statistics from Categorical Data
  • Analysis
  • Obtaining Inferential Statistics from Continuous Data
  • Analysis
  • Obtaining Time-to-Event Analysis Statistics

Performing Common Analyses and Obtaining Statistics

  • Using the SAS XPORT Transport Format
  • Creating XML Files
Read more

Who should take up SAS certification training in Chennai?

  • Software Developers and Architects
  • Business Intelligence Professionals
  • Project Managers
  • ETL, SQL professionals
  • Data Warehousing Professionals
  • Analytics Professionals
  • Mainframe Professionals
  • Testing Professionals
  • Graduates keen on diving into Big Data Analytics domain

Here we list some of the prominent data science certifications:

  • Microsoft Certified Solutions Expert (MCSE)
  • Cloudera Certified Professional
  • SAS certified data scientist

Trainer Profile

Aimore Trainers give total opportunity to the understudies, to investigate the subject and learn dependent on constant models. Our coaches help the up-and-comers in finishing their undertakings and even set them up for inquiries questions and replies.
Competitors are allowed to pose any inquiries whenever.

More than 10+ Years of Experience.

Prepared more than 2000+ understudies in a year.

Solid Theoretical and Practical Knowledge.

Confirmed Professionals with High Grade.

Very much associated with Hiring HRs in worldwide organizations.

Master level Subject Knowledge and completely state-of-the-art on certifiable industry applications.

Coaches have Experienced on various ongoing undertakings in their Industries.

Our Trainers are working in global organizations, for example,ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies and so on
Read more

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