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

Base SAS Training in Chennai

SAS Courses Offered at Greens Technology
  1. Base SAS

  2. Advance SAS

  3. Clinical SAS Programming

  4. Predictive Modeling

  5. Clinical Data Manager

  6. Platform Administrator

  7. SAS Data Integration Studio

  8. BA Data Mining with Statistics

  9. Business Intelligence

  10. Data Management and Reporting


Base SAS Training

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 in Chennai

INTEGRATED COURSE OUTLINE

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 SAS® code
    • 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 In Chennai

    Clinical SAS Training Course Content

    In this program the participants will learn how to

    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 Training in Chennai

    SAS Predictive Modeling Course Content

    Applied Analytics using SAS Enterprise Miner 5.3 (IND1Z)

    • 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 (IND83)

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

    Business Analytics Boot Camp

    Integrated Course Outline

    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

    COURSE OVERVIEW

    "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 Boot Camp Course Content :

      Integrated Course Outline

      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

      Overview Of Course

      • 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


      Boot Camp for SAS Business Intelligence Developer

      Integrated Course Outline

      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 INDBIF92

      Integrated Course Outline

      Introduction

      • 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

      Integrated Course Outline

      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

      Integrated Course Outline

      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




  • Dinesh J
    CEO, Greens Technology
    Trainer, Exp: 12 yrs
    Mobile: +91 8939915577
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