Greens Technology
15 First Street Padmanabha Nagar, Adyar, Chennai
      Greens Technology Contact
Email: contact@greenstechnologys.com

SAS Training Course Content

SAS Training in Chennai provide basic to advanced SAS Classes in Chennai with Placement and Certification

Learn Statistical Analysis System (SAS) from the Best SAS Training Institute in Chennai with the most experienced and SAS certified trainers in the field. Greens Technology provides SAS training in Chennai to students, professionals and corporate on SAS Business Analytics and Business Intelligence. SAS Training includes Software Programming, Clinical, Analysis and Analytics modules, which can be availed by professionals with IT, Life Sciences & Healthcare, Statistics, MBA, Economics, Econometrics and such backgrounds on both Classroom Trainings and Online Trainings

Our SAS training courses include Base SAS, Advance SAS, Clinical SAS Programming, Predictive Modeling, Clinical Data Manager, Platform Administrator, SAS Data Integration Studio, BA Data Mining with Statistics, Business Intelligence, Visual Analytics, Data Management and Reporting


SAS Training Courses Offered at Greens Technology

Base SAS Training Course Content

The Program will cover three modules


1 . SAS Programming I Essential

  • Navigate the SAS windowing environment
  • Read various types of data into SAS dat a sets
  • Validate and clean SAS data sets
  • Create SAS variables and s ubset data
  • Combine SAS data sets
  • Create and en hance listing and summar y reports

2 . SAS Programming II: Manipulation Data with DATA step

  • Control SAS data set input and output
  • Combine SAS data sets
  • Summarize, read, and write different ty pes of data
  • Perform DO lo op and SAS array processing
  • Transform character, numeric, and date variables

3 . SAS Certification Review

This course can help prepare you for the following certification exam(s): SAS Base Programming Exam for SAS 9.2

  • Read, create, and combine SAS data sets
  • Read and create raw data files
  • Create variabl es using the a ssignment statement and using conditional process ing
  • Manipulate da te using SAS functions
  • Process data w ith DO loops and with ar rays
  • Create differe t types of re ports using th e PRINT procedure, the R EPORT procedure, the FR EQ procedure, or the MEANS procedure
  • Create formats with the FORMAT procedure
  • Create HTML reports with ODS


Advanced SAS Training Course Content

The Program will cover three modules


1 . SAS Macro Language

This course focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed.

  • Perform text substitution in SAS code
  • Automate and customize t he production of SAScode
  • Conditionally or iteratively construct SAS code
  • Use macro variables and macro functions

2 . SQL Processing with SAS

How to process SAS data using Structured Query Language (SQL) This course can help p repare you for the following certification exam(s): SAS Advanc ed Programm ing Exam for SAS 9.2.

  • Query and sub set data
  • Summarize and present dat a
  • Combine tables, including complex joins and merges
  • Create and mo dify table vie ws and indexes
  • Replace multi ple DATA and PROC steps with one SQ L query

3 . SAS Prog ramming III: Advance Te chniques & efficiency

This course is for SAS programmers who prepa re data for an alysis. The c omparisons o f manipulation techniques and reso urce cost benefits are des igned to help programme rs choose the most appr opriate technique for their data situation. This course can help p repare you for the following certification exam(s): SAS Advanc ed Programm ing Exam for SAS 9.2.

  • Control memory, I/O, and CPU resources
  • Create and use indexes
  • Combine data horizontally and vertically
  • Use hash and hiter DATA step component objects, arrays, and for mats as looku p tables
  • Compress SAS data sets
  • Sample your SAS data sets

Clinical SAS Training Course Content In Chennai

Base SAS

  • SAS programming 1: Essentials
  • SAS programming II: Data manipulation techniques
  • Base SAS Certification Review

SAS/SQL

SAS PheedIT General Introduction

Overview/introduction to PheedIt including Roles and Online Documentation + Demo

PheedIt Administration

  • Library Administration, Librarian Role + Demo
  • Workshop for Library Administration
  • Study Setup Study, Definer Role + Demo
  • Workshop for Study Definer Role, start
  • Workshop for Study Definer Role

Data Entry

  • Workshop for Data Entry
  • Discrepancy Management, Disc. Manager Role + Demo
  • Workshop for CDM Role
  • Investigator Role, Monitor Role
  • Clinical Data Manager (CDM) Role +Demo
  • Statistician Role + Demo
  • Dictionary Coding
  • Workshop CDM

Clinical SAS Data Integration

  • Register source data and target tables
  • Create jobs and explore the functionality of the Job Editor
  • Work with many of the various transformations
  • Enhance table relationships using integrity constraints, key, and indexes
  • Work with slowly changing dimensions
  • Create custom transformation with the Transformation Generation Wizard
  • Document and deploy jobs
  • Administer SAS Data Integration Studio

SAS/Report

SAS/Access


SAS Predictive Modeling Course Content Training in Chennai

Applied Analytics using SAS Enterprise Miner 5.3

  • Introduction
  • Accessing and Assaying Prepared Data
  • Introduction to Predictive Modeling with Decision Trees Introduction to Predictive Modeling with Regressions
  • Introduction to Predictive Modeling with Neural Networks and Other Modeling Tools Model Assessment
  • Model Implementation Introduction to Pattern Discovery Special Topics (Self-Study)
  • Case Studies (Self-Study)

Enterprise Guide: ANOVA Regression and Logistic Regression

  • Introduction to Statistics
  • Inferences for the Mean
  • Analysis of Variance
  • Regression
  • Regression Diagnostics
  • Categorical Data Analysis

Business Analytics Training Course Content

Base SAS

  • Navigate the SAS windowing environment
  • Read various types of data into SAS data sets
  • Validate and clean SAS data sets
  • Create SAS variables and subset data
  • Combine SAS data sets
  • Create and enhance listing and summary reports
  • Control SAS data set input and output
  • Combine SAS data sets
  • Summarize,read,and write different types of data
  • Perform DO loop and SAS array processing
  • Transfrom character,numeric and data variables

Creating Business Intelligence using SAS Reports

  • Use several of the business user applications in the platform for SAS Business Analytics
  • Create and Exploit dynamic value selection
  • Bulid advanced information maps using SAS information Map Studio
  • Create advanced SAS BI Dashboard applications
  • Produce advanced stored processes able to create dynamic data sources
  • Bulid schedule and distribute advanced reports
  • Consolidate information into a business reporting application
  • Describe the online analytical processing capabilities available in the SAS platform
  • Explore the basic functionality of the SAS integration with JMP
  • Examine the types of metadata created in the SAS platform

SAS Data integration

  • Register soure data and target tables
  • Create jobs and explore the functionality of the job editor
  • Work with many of the various transformations
  • Enhance table relationships using integrity constraints keys and indexes
  • Work with slowly changing dimensions
  • Create custom transformation with the Transformation Generation Wizard
  • Document and deploy jobs
  • Administer SAS Data Integration Studio


PLATFORM ADMINISTRATOR Training Course Content

"Reviewing the Platform for SAS Business Analytics"

  • Exploring the platform for SAS
  • Business Analytics overview
  • Exploring the client tier, middle tier, server tier, and data tier

Administering the SAS Environment

  • Overview of administration tasks

Determining the State of the SAS Environment

  • Checking the state of SAS servers
  • Exploring the metadata server and repositories
  • Troubleshooting the metadata server

Monitoring, Logging, and Troubleshooting SAS Servers

  • Identifying different types of SAS servers
  • Monitoring SAS servers and spawners
  • Logging SAS servers and spawners
  • Troubleshooting SAS servers

Backing Up the SAS Environment

  • Backing up metadata with the Backup Wizard
  • Exploring OMABAKUP
  • Scheduling backups
  • Backing up physical files

Administering Client Applications

  • Exploring connection profiles
  • Using roles to control access to application
  • Functionality
  • Exploring SAS folders

Administering Users

  • Defining regular users and groups
  • Defining administrative users
  • Giving users access to servers

Administering Data Access

  • Registering libraries
  • Tables in the metadata
  • Updating table metadata
  • Pre-assigning libraries
  • Troubleshooting data access

Securing Metadata

  • Introduction to metadata security
  • Exploring metadata permission
  • Exploring predefined ACTs
  • Securing content in the folder tree
  • Securing content outside the folder tree
  • Creating additional ACTs

Moving Metadata

  • Replicating an entire repository
  • Promoting selected content

Updating the SAS Environment

  • Applying hot fixes to the SAS environment


Data manager Training Course Content

Base SAS

  • Navigate the SAS windowing envionment
  • Read various types of data into SAS data sets
  • Validate and clean SAS data sets
  • Create SAS variables and subset data
  • Combine SAS data sets
  • Create and enhance listing and summaty reports
  • Control SAS data input and ouput
  • Combine SAS data sets
  • Summarize, read,and write different types of data
  • Perform DO loop and SAS array processing
  • Transform character, numeric and data variables

Advance SAS

  • Create a framework for developing macro application
  • Develop reusable macros
  • Read and process data
  • Pass and process data
  • Query and subset data
  • Summarize and present data
  • Combine tables, including complex joins and merges
  • Create and modify tables views and indexes
  • Replace multiple DATA and PROC steps with one SQL query
  • Control memory,I/O, and CPU resources
  • Create and use indexes
  • Combine data horizontally and vertically
  • Use hash and hiter DATA step component objects, arrays, and formats as tookup tables
  • Compress SAS data sets
  • Sample your SAS data sets


Clinical SAS programming Course Content

  • Basic of SAS Programming
  • Introduction to the pharmaceutical industry & clinical Reserch
  • Introduction to clinical Reserch Organization
  • Familiarize with frequently used clinical trial terminology
  • Advance SAS
  • Clinical SAS
  • Introduction with Clinical study Documents
  • Regulatory Authorities & Application Process (USFDA,EU,ICH)
  • Clinical SAS Data Integration
  • Creation of Clinical Datasets (DM, AE, MH, VS, and PE etc)
  • Basics of Analysis Datasets
  • Compliance, Auditing & Quality Control in Clinical Research
  • Project on clinicl Trial Dummy Data


SAS Business Intelligence Developer Training Course Content

Base SAS

  • Navigate the SAS windowing environment
  • Read various types of data into SAS data sets
  • Validate and clean SAS data sets
  • Create SAS variables and subset data
  • Combine SAS data sets
  • Create and enhance listing and summary reports
  • Control SAS data set input and output
  • Combine SAS data sets
  • Summarize read and write different types of data
  • Perform DO loop and SAS array processing
  • Transform character numeric and date variables

Creating Business Intelligence using SAS Reports

  • Use several of the business user applications in the platform for SAS Business Analytics
  • Create and Exploit dynamic value selection
  • Bulid advanced information maps using SAS Information Map Studio
  • Create advanced SAS BI Dashboard applications
  • Produce advanced stored processes able to create dynamic data sources
  • Bulid Schedule and distribute advanced reports
  • Consolidate information into a business reporting application
  • Describe the online analytical processing capabilities available in the SAS platform
  • Explore the basic functionality of the SAS integration with JMP
  • Examine the types of metadata created in the SAS platform

Creating Business Intelligence for your Orgainzation

  • Exploring the paltform for SAS Business Analytics
  • introducing the course environment and scenario

Introducing the Business User Reporting Applications

  • Defining the business user role and reporting applications
  • Exploring the SAS Add In for Microsoft Office
  • Exploring the SAS Web Report Studio
  • Defining the interaction between the business user and the business analyst

Introducing Advanced Reporting Techniques and Roles

  • Defining the business analyst role and applications
  • Modifying an existing information map
  • Creating a new SAS BI Dashboard indicator
  • Creating data sources for reporting and analysis
  • Defining the interaction between the business analyst and the paltform administrator
  • Understanding SAS Data Integration capabilities

Creating an Information Map

  • Understanding SAS Information Maps
  • utilizing different data sources
  • Exploiting dynamic subsetting of data
  • Creating prefilters to subset the information map
  • Using the Information Map LIBNAME Engine
  • Creating information maps programmatically self-study

Building a SAS BI Dashboard Application

  • Understanding SAS BI Dashboard
  • Building the SAS BI Dashboard components
  • Building advanced SAS BI Dashboard components

Building Stored Processes

  • Understanding SAS Stored Process concepts
  • Creating a stored process from a SAS Enterprise Guide project
  • Creating a stored process from a SAS program
  • Creating stored process parameters
  • Creating a stored process to provide a dynamic data source

Utilizing Advanced Techniques with SAS Reports

  • Building advanced reports with SAS Web Report Studio
  • Creating and using SAS report templates
  • Linking reports in SAS Web Report Studio
  • Scheduling and distributing SAS Reports
  • Building SAS Reports with SAS Enterprise Guide
  • Creating Shared Prompts

Consolidating Information into a Business Reporting Application

  • Creating the business reporting application

Introducing Multidimensional Data Sources

  • Understanding online analytical processing concepts
  • Building an OLAP cube with SAS OLAP Cube Studio
  • Building an information map from a SAS OLAP cube

Introducing SAS Visual BI

  • Introduction to SAS Visual BI
  • Exploring the SAS integration with JMP

Examining the Environment Metadata

  • Reviewing the platform for SAS Business Analytics
  • Reviewing the course environment

Data Integration Table Course content

Base SAS

  • Navigate the SAS windowing environment
  • Read various types of data into SAS data sets
  • validate and clean SAS data sets
  • Create SAS variables and subsets data
  • Control SAS data set input and output
  • Summarize , read, and write different types of data
  • perform DO loop and SAS array processing
  • Transform character, numeric , and data variables

Advance SAS

  • Create a framework for developing macro application
  • Develop reusable macros
  • Read and process macro parameters
  • Pass and process macro paramters
  • Query and subset data
  • Summarize and present data
  • Combine tables, including complex joins and merges
  • Create and modify table views and indexes
  • Replace multiple DATA and PROC steps with SQL query
  • Control memory , I/O, and CPU resources
  • Create and use indexes
  • Combine data horizontally and vertically
  • Use hash and hiter DATA step component objects, arrays , and formats as lookup tables
  • Compress SAS data sets
  • Sample your SAS data sets

SAS Data Integration

  • Register source data and target tables
  • Create jobs and explore the functionality of the job Editor
  • Work with many of the various transformations
  • Enhance table relationships using integrity constrains, key, and indexes
  • work with slowly changing dimensions
  • Create custom transformation with the Transformation Generation Wizard
  • Document and deploy jobs
  • Administer SAS Data integration Studio

Data Mining with Statistics Training Course Content

Base SAS

  • Navigate the SAS windowing environment
  • Read various types of data into SAS data sets
  • Validate and clean SAS data sets
  • Create SAS variables and subset data
  • Combine SAS data sets
  • Crete and enhance listing and summary reports
  • Control SAS data set input and output
  • Combine SAS data sets
  • Summarize,read,and write different types of data
  • Perform DO loop and SAS array processing
  • Transform character , numeric,and date variables

Creating Business Intelligence using SAS Reports

  • Use several of the business user applications in the platform for SAS Business Analytics
  • Create and Exploit dynamic value selection
  • Build advanced information maps using SAS Information Map Studio
  • Create advanced SAS BI Dashboard applications
  • Produce advanced stored processes able to create dynamic data sources
  • Build,schedule,and distribute advanced reports
  • Consolidate information into a business reporting application
  • Describe the online analytical processing capabilities available in the SAS platform
  • Explore the basic functionality of the SAS integration with JMP
  • Examine the types of metadata created in the SAS platform

SAS Analytics (SAS Enterprise Guide :ANOVA Regression & Logistic Regression , Applied Analytics using SAS Enterprise Miner)

  • Generate descriptives statistics and explore data with graphs
  • Perform analysis of variance
  • Perform linear regression and assess the assumptions
  • Use diagnostic statistics to identify potential outliers in multiple regression
  • Use chi-square statistics to detect associations among categorical variables
  • Fit a multiple logistics regression mode
  • Define a SAS Enterprise Miner project and explore data graphically
  • Modify data for better analysis results
  • Build and understand predictive models such as decision trees and regression models
  • Compare and explain complex models
  • Generate and use score code
  • Apply association and sequence discovery to transaction data
  • Use other modeling tools such as rule induction ,gradient boosting ,and support vector machines




  • Rajesh Jain
    SAS Consultant
    Trainer, Exp: 12 yrs
    Mobile: +91 8939915577

    About Myself

    My name is Rajesh Jain. I began an interest in programming back in 2001 and have continued this through to the present day. In 2005 I was introduced to a software package called SAS for the analysis and reporting of statistics for a government organization in New Zealand. 2008 saw big changes with the move to the United Kingdom where I had the chance to enter the Pharmaceutical sector as a SAS Analyst Programmer and later left to establish my own consultancy company based in London, England. From London I did work for several blue-chip pharmaceutical companies in the UK, Europe and the USA in the fields of Data Entry and Data Validation systems, Data Analysis and Presentation, both for internal and regulatory authorities. 2010 saw another big change when I moved my base to Chennai where I continue to contract out my experience and services to leading blue-chip companies throughout the world including India, North America, Europe and the South Pacific..


    On my page you will find my resume, papers from presentations I have done, a useful SAS Cheat Sheet, a SAS Tip of the Month (and archive), some Useful SAS Notes and a full SAS code example of what SAS can do. I hope you find these useful and much more will be available in upcoming months so please visit regularly.

    If you would like me to look at something you think I could help you with then please do not hesitate in contacting me at any time. My door is always open."


    Yours sincerely,
    Rajesh Jain
     


    Why we are No.1 in SAS Training center in Chennai ?

    • We are not just a training institute but we believe that the training is at the core of strengthening the technical skills to meet the industry right job at right time and to facilitate assured careers.


    Predictive Analytics: the Future of Business Intelligence

    Predictive analytics combine business knowledge and statistical analytical techniques to apply with business data to achieve insights. These insights help organizations understand how people behave as customers, buyers, sellers, distributors, etc.

    Multiple related predictive models can produce good insights to make strategic company decisions, like where to explore new markets, acquisitions, and retentions; find up-selling and cross-selling opportunities; and discovering areas that can improve security and fraud detection. Predictive analytics indicates not only what to do, but also how and when to do it, and to explain what-if scenarios.

    The Predictive Modeling Consultant will be responsible for working with the project team and the client's analytics lab to explore the application of advanced statistical techniques in models of healthcare fraud, developing and devising data mining and predictive analytic methods for implementation across medical areas; and working with medical and investigative Subject Matter Experts (SME) to identify ways to measure and model fraud vulnerabilities and to evaluate model performance.

    In addition, the Predictive Modeling Consultant will also perform statistical analysis, data manipulation and descriptive analysis, modeling planning / SME and team meetings, client interaction/presentations and report writing.



    Role of a Data Analyst (SAS and/or SPSS)

    The Public Sector BAO Senior Data Analyst will be responsible for: 1)using statistical techniques to determine sample sizes; 2) helping in strategic, tactical and operational decision making; 3) creating trend reports and summary statistics; 4) extracting data from Microstrategy reports; and 5) Extracting Transforming and Loading (ETL) big data available in pipe delimited format into SAS/SPSS for running analytics.

    In addition, the Senior Data Analyst will manage data running into multiple tables, millions of rows and hundreds of column, data cleansing, developing business cases and managing delivery of regular tracking and monitoring reports.

    SAS Visual Analytics

    SAS Visual Analytics combines powerful analytics and data visualization to provide deep insights from all your data - even billions of rows of it. Plus, with an easy-to-use, drag-and-drop interface, anyone can use it effectively.

    How to Become an SAS Programmer: Education and Career Roadmap

    Learn how to become an SAS programmer. Research the job description and education requirements and find out how to start a career in SAS programming.

    Statistical Analysis System (SAS) programmers work with software products produced by the SAS Institute. These programs are widely used in various industries. SAS programmers can help various organizations with system solutions, such as customer intelligence, performance management, financial intelligence, fraud intelligence, security intelligence and risk management. They can work for pharmaceutical, health care, and biotechnology firms or in universities and government agencies. Numerous industries can benefit from hiring SAS programmers. They need the expertise of individuals who are proficient in computer programming, science and mathematics.

    Employers prefer SAS programmers who have completed a statistics or computer science bachelor's degree program. Relevant coursework in a statistics program includes statistical analysis, sampling, regression analysis and actuarial science. Courses in computer science program includes include database applications, foundations of programming languages, operating system design and implementation, parallel computer architecture and mathematical foundations of computing.

    Be prepared for advanced mathematical skills. Students in statistics, computer science and related programs should hone in on their advanced mathematical skills. College courses will consist of advanced math courses, including all aspects of statistical calculations.

    Acquire SAS Certification

    Students can begin their SAS certification at any time. The SAS Institute provides training, e-learning and certification courses. The Base SAS programmer certification includes 'SAS Programming 1: Essentials' and 'SAS Programming 2: Data Manipulation Techniques.' The institute also has learning paths and training formats to guide the students on how to schedule their courses.

    Gain SAS Programming Work Experience

    SAS programmers are needed in many industries. Acquiring a job in the field is promising once a degree, adequate training and certification have been completed. Joining SAS groups can help a new SAS programmer get acclimated in the field.

    Join the Greens Technology SAS community. SAS community (www.greenstechnologys.com) is a group of SAS programmers. The site is an excellent way to find answers and to collaborate with each other about various ideas related to the program. It is also a place full of tips, articles, job openings, product information and forums where SAS programmers can share with one another.

    Join other programming societies. Joining a group of programmers is an excellent way to start getting to know people, activities and technological news. For instance, the National Association of Programmers (NAP) is committed to educating its members by offering certification courses and by publishing industry-related articles. For individuals whose area of focus is on mathematics or statistics, the Mathematical Optimization Society serves as an educational, support, and networking group.