SAS Chennai Statistical

Module 1

Database Concepts

Data warehousing concepts

SAS Concepts

SAS Modules

Resume Preparation

Career Guidance

Certification Guidance

Case Studies

Project Work

SAS Variables and Attribute

Creating Libraries

Styles of Input

Reporting & Dataset Option

Conditional Statement

Infile Statement

SAS Input Methods

SAS Formats

PDV SAS/Base SAS

Connect SAS/Macros SAS

Access SAS/Stat SAS

Graph SAS/SQL

Module 2

SAS System Basics

Accessing the SAS System

Editor, Log, and output windows

SAS programs in batch and interactive mode

Understanding errors in the SAS log

Exploring program output

Understanding SAS data set and library structure

Creating DATA and PROC steps

Understanding SAS syntax and SAS naming conventions

Working with temporary and permanent SAS data sets

Module 3

Creating Reports

Using the REPORT Procedure

Creating reports (WYSIWYG) without code

Creating reports in a batch environment with code and NOWD

Using COLUMN, DEFINE, and COMPUTE

Using ODS to generate HTML, RTF and XML reports

Using Report options

Summarizing and sorting reports

Adding titles, footnotes and labels to reports

Using the PRINT procedure

Selecting report columns with the VAR statement

Grouping reports with the BY statement

Summing report columns with the SUM statement

Producing frequency tables using the FREQ procedure

Module 4

Creating Graphs

Producing vertical

horizontal Bar

charts with the GCHART procedure

VBAR and HBAR

Understanding chart variables

Using RUN

Group processing for multiple graphs in the same session

Understanding options to tailor graphs

Module 5

Reading SAS Data Sets

Reading data sets with the SET statement

Restricting data set size

Module 6

Creating SAS Data Sets

Reading raw data using list, column and pointer input

Naming variables

Understanding how to read any type of data using SAS informats

Using INFILE and INPUT statements to read raw data

Examining the structure of a SAS data set and its variables

Creating new variables

Module 7

Recoding and Reorganizing Data

Using SAS formats to recode data values

Using the FORMAT procedure to create user defined value labels

Reordering rows of data with the SORT procedure

Module 8

Summarizing Your Data

Calculating descriptive statistics

Grouping data using the CLASS statement

Analyzing data values using the VAR statement

Generating one-way and multi-way frequency

TABLES statement in the FREQ procedure for analysis structure

Module 9

Combining SAS Data Sets

Concatenating SAS data sets using the SET statement

Merging multiple SAS data sets on common key variables

Using the SQL procedure

Comparing methods of merging (joining) data sets

Programming II: Data Manipulation Using The Data Step

Module 10

Understanding The Data Step

Difference between compile and execute

Learning about Data Step storage areas

Reading and creating multiple SAS data sets

Module 11

How to Debug Your Program

PUT Statement

Interactive debugger to understand program logic problems

Module 12

Reading External Data Types and Creating Flat File Basics

Reading flat files using delimiters

Reading data from a relational database

Creating user defined informats for special data

Creating flat files in SAS-

Module 13

Creating New Variables and Adding Value to Your Data

Cleaning existing data

Assigning new character, numeric and date variables

Using Picture Statements to create user defined formats

Module 14

Combining Data Files Using a Match Merging and Interleaving

Match Merging multiple SAS data sets together

Interleaving SAS data sets with the SET statement

PUT and INPUT functions

Files

Sum and Retain statements

Creating group totals with First and Last processing

Creating summary data sets with Proc Summary

Selecting specification summarization hierarchies

Module 15

Perform Iterative Processing on Data

Using DO loops for repetitive calculations and processing

Using Arrays to process across an observation

DO WHILE and DO UNTIL

Creating a simple random sample

Module 16

Producing Exception Reports

Using a WHERE statement to subset data

Contribution option to perform table lookups when merging files

Identifying duplicate rows of data in a file

About US

Geoinsyssoft ensure our trainees for giving the quality and powerful knowledge about SAS in course and also we provide the clear clarification for our trainees regarding SAS in our course material with giving the real time hands-on works, which is useful for their next level.

We do online,classroom and corporate training.

If you are looking for the best institute for oracle training in chennai, then Geoinsyssoft is your correct choice. Geoinsyssoft’s SAS training in chennai received good reviews from students.Our SAS training, will stimulates you to open avenues for carreer success in India and abroad in this space.

In our institute we are giving the best SAS training in chennai with clear view of the course. We are giving the SAS training for the trainees with our experienced trainers.Our way of training is best for the trainees to understand about the course in the clear view.

About SAS

SAS has over 40,000 customers worldwide and holds largest market share in advanced analytics. It has been tagged ‘leader’ consistently in advanced analytics platform as per Gartner 2015 and 2016 reports. In finance (BFSI) industry, SAS secured No. 1 spot and used as a primary tool for data analysis. Many financial companies are still reluctant to use R/Python programming language as they have been using SAS for 30 years, and they have automated the whole process of analysis and have written millions of lines of working code. To convert all the stable reporting system from SAS to R/Python, it may cost 50-100 times more.

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