Base and Advanced SAS Training In Chennai

Base SAS and Advanced SAS Training In Chennai

SAS Training (Base and Advanced) - Analytics Training

Base SAS and Advanced SAS Training in Chennai

SAS is slowly becoming a standard for all Analytics professionals. In this, we will cover Base SAS as well topics from Advanced SAS. SAS originally stood for "Statistical Analysis System", which as the name suggests was used for Statistical analysis. Today it has evolved to become a ubiquitous Business Intelligence (BI) tool which is used for Data analysis, reporting, predictive modelling, data mining, econometric and time series analysis...pretty much anything and everything related to Data Analytics.

Greens Technologies offers Best Sas training in Chennai with Global Certification. Whether you’re just getting started with data analysis or you’ve been analyzing data for years, our SAS Training Institute in Chennai can help you learn the ins and outs of SAS, Crystal Reports, and more. Our courses cover web analytics, data validation, and how to use tools like Excel and SPSS Statistics.

Awarded as the India's Best SAS Training Center in Chennai - We Guarantee Your SAS Training Success in Chennai

Base SAS and Advanced SAS Apps DBA Training in ChennaiAbout Instructor:
- As a Trainer, Rajesh is an experienced statistician and data miner with more than 12+ years of Analytics experience in predictive modeling , time series, segmentation, decision trees, advanced algorithms using Base SAS, SAS BI tools like DI Studio, OLAP Cube studio, IDP, Web Reporting studio, Enterprise Guide and Management console and a passion for building analytical solutions and is very keen in delivering the BEST SAS Trainings.

Conducting regularly online- training for US peoples in all time zones (PST,CST,EST,HST,MST) My training is 100% Money Back Guarantee (Tuition fee) for Passing Online Examination with cent percent and ready to go live with production system immediately. If my training does not satisfy you at any point of time, even during the training period, you need not pay the tuition fee.

100% practical training only. It is not a slide show training program / theory class program. At the end of this class, definitely you will refer your colleagues / friends / relatives for my training.

Become a certified data scientist. Learn SAS, SQL in SAS and Excel. Join SAS Training in Chennai – the best SAS Training Center in Chennai!

Talk to the Trainer @ +91-89399 15577

Learn how to analyze data. How do you navigate through a sea of data and use it to make informed decisions? With data analysis. Learn data-analysis techniques that apply to any industry, on SAS Training in Chennai today.

Best SAS Training In Chennai

SAS Training Course Syllabus

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 Techniques & 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
  • Creaustom 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