Sachin Gadkar

This page contains useful information and links for Personal, SAS, Mathematics, Statistics, Finance and Miscellaneous sites.

Personal Information

1. This is my Personal Email Id.

2. Here you can see my CV in doc format.

Curriculum Vitae


1. SAS support site contains documentation and sample programs. This is particularly useful when we need to learn some part of sas with examples.

SAS support

2. This is the finest resource of all the tutorials from SUG.

Lexjansen's site

3. Post and read queries on SAS, a very nice source to learn SAS with experts.

SAS-l listserv

4. Google groups which is same as listserv and good medium to learn SAS, C++, C and much more.

Google groups

5. Writing Efficient SAS Codes by Chong-ho (Alex) Yu. This site gives tips, codes on SAS.

Seamonkey site

6. SAS code examples.

Richard DeVenezia's Site

7. Resources to help you learn SAS. It also contains links to regression, logistic regression, repeated measure analysis, survey data analysis.

UCLA sas resources

8. Online documentation for SAS.

SAS online Doc V8

SAS online Doc 9.1.3

SAS 9.1.3 documentation in PDF form from SAS site

9. This ring joins sites on the Web which have SAS´┐Ż Software as their primary topic. SAS Software is used to build statistical, EIS, MIS, Data warehouse and OLAP applications on PC, Mac, Unix and Mainframe platforms.

SAS software Webring

10. SAS consultant special Interest group. Here you would get all the latest news in the sas world.


MS Excel

1. Excel Tutorial on Anthony's Web Page

Excel Tutorials


1. IIT Bombay, Dept of Mathematics.

Dept. of Mathematics,IITB

2. nice site for Mathematical material


-2. R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control

R language

-1. R Language mailing list archives


0. This a nice introductory notes for beginners in R language.

Simple R

1. This is an ebook called the electronic textbook statsoft. A really nice and thorough SAS book.

Statistics E-book

2. This is link to many online books on statistics.

List of statistics ebooks

3. Online statistics textbook, Hyperstat online textbook.

Hyperstat online textbook

4. Stat Refresher index. This is an online reference which contains all the needed statistical content. A really good one but the information is ordered in a tree structure, so you need to follow a link after link. The contents are clustering algorithms, correlation coefficient, Data Analysis, distributions, Expectations, linear regressions, measures of central tendency, Multiple regression, probability, variance and much more.

Stats Refresher

5. This is online book, Basic principles of statistical Analysis. Focusses on GLM (general linear models)

Basic Principles of statistical Analysis

6. Basic introductory book nicely written and aimed at building mathematical models for real world. An extensive treatment of measurement and measurement scales as a model-building procedure.

Introductory statistics: Concepts, Models and Applications

7. Multivariate statistics: Concepts Models and applications

Introductory Multivariate statistics

8. Data Mining introductory notes. It contains datamining introduction, Data mining functions, Data mining techniques, data mining examples.

Data mining introductory notes

9. Statnotes : Topics in Multivariate Analysis, by David Garson.

Topics in Multivariate Analysis

10. Little Handbook of Statistical Practice. Also contains a brief overview of logistic regression

Little Handbook of Statistical Practice

11. Online book in pdf of Probability theory by Grinstead and Snell

Introduction To Probability

12. Concepts and Applications of inferential statistics

Inferential statistics

13. DMOZ web resources for statistics


14. Complete guide to nonlinear regression

Nonlinear Regression

15. A very nice tutorial on mathematical modelling

Mathematical Modelling Tut

16. Compendium of common probability distributions


Programming Languages

1. Python's a very good OOP language.

Python Official Site

2. Vaults of Parnassus website

Python Resources

3. Programming resource site


1. Financial Markets for all

Hashmein financial markets textbook

2. This site has lot many financial tutorials and a simulator.


General Resource

1. Free Encyclopedia Wikipedia

Wikipedia Encyclopedia

2. Webster's online dictionary with multilingual thesaurus translation.

Webster's Dictionary

3. Merriam websters online dictionary

Merriam Online dictionary

Search Engines

1. Google search engine.

Secure Google


2. Altavista, the mother of all search engines.

3. All the web is here in


4. Accoona matata...its is new search engine.


4. A seach engine for scientific information only. SCIRUS



1. Gmail.

secure Gmail


2. accenture mail access from outside the intranet.

Accenture Email Access

3. Yahoomail


4. Orkut to be in contact with your friends.


Official Site

0. accenture consulting


1. Cognizant technology solutions


2. My blog

Impossible Dream

3. My homepages

freewebspace homepage

geocities homepage

Mathematics Teaching Downloads

1. Notes that I prepared while teaching Mathematics at Jee level. These notes though are not complete they contain few very nice conceptual things.

JEE Mathematics Notes

SAS downloads

1. Series #1 : This is the first notes made by me while learning SAS. Here we try to understand the input, put functions in Base SAS, SCL functions inputc, inputn, putc, putn and the call execute routine.


2. Series #2 : This is the second notes made by me. Here we try to understand the format and informat logic in SAS. Format informat understanding is very important to code in SAS.


3. Series #2 : This is the third in the series documented by me. In this pdf we try to understand the picture format used in the proc format.


1. Connecting Two computers @Home with Just a Crossover Cable(Lan Cord)

Connect Two Computers Doc file

Guest Book

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