As seen in the survey, many of you use SAS. So, here is list of tutorials available on the internet:
1. http://www.utexas.edu/cc/stat/tutorials/sas8/sas8.html
This link contains following material:
Section 1: Introduction
About this Document
Introduction to Version 8 of SAS
Section 2: An Overview of SASV.8 for Windows
Navigating through SAS for Windows
The Explorer/Results Window
The Program Editor
The Enhanced Program Editor
The Output Window
The Log Window
Section 3: Importing Data into SAS
Introduction
Creating a SAS Library
Using the Import Wizard
Section 4: The Analyst Application
Section 5: Data Transformations
Computing New Variables
Recoding Variables
Section 6: Descriptive Statistics
Frequencies
Summary Statistics
Distributions
2. If somebody wants personal training in SAS and certification of the same SAS Institute takes training classes and certification exams:
http://support.sas.com/training/us/index.html
3. Another SAS tutorial by NCSU:
http://sas.ncsu.edu/training/index.php
4. Learn SAS online with these interactive online SAS courses.
http://www.remotecourse.com/SAS-Series.cfm
5. Sample SAS codes:
www.sas.com/service/doc/code.samples.html
6. The little SAS book:
http://books.google.com/books?hl=en&id=14CSsIUQ24kC&dq=SAS+book&printsec=frontcover&source=web&ots=eVnyu4jmpI&sig=Lz0K7YYFVlfrN8a-gXoYXBB_6Xs&prev=http://www.google.com/search%3Fhl%3Den%26q%3DSAS%2Bbook&sa=X&oi=print&ct=result&cd=1&cad=bottom-3results
7. The Little SAS Book for Enterprise Guide 4.1:
http://books.google.com/books?hl=en&id=ZNRADitHOqgC&dq=SAS+book&printsec=frontcover&source=web&ots=f8Ia2WN0Hp&sig=bB6JXZcPvNuTdG2mHm1LLW_GMZ4&prev=http://www.google.com/search%3Fhl%3Den%26q%3DSAS%2Bbook&sa=X&oi=print&ct=result&cd=2&cad=bottom-3results
8. SAS SUGI Material:
http://www.lexjansen.com/cgi-bin/xsl_transform.asp?x=SUGI20&s=sugi&c=sugi
9. The SAS Training Manual:
http://books.google.com/books?hl=en&id=0IH0wGTNnqMC&dq=SAS+training&printsec=frontcover&source=web&ots=AJ1Sg2MG0G&sig=isN_JFAGpVQQwQU4Ps5N_Ez0wHY&sa=X&oi=book_result&resnum=9&ct=result
If any of these links are not working directly, then you can copy paste it.
I am getting lot of emails about SAS opportunities. Please comment on blog itself if you have any questions.
Thanks,
alltutorial05@gmail.com
Monday, June 23, 2008
Thursday, June 19, 2008
CHOICE OF DATA MINING / STATISTICAL TOOL
I would like to start the session with statistical tools available in market such as SAS, SPSS, STATA, R plus as well there are many open source tools. There are so many questions around these tools:
Which one has highest market value right now?
Which can get your work done quickly?
Which tool is best for customized reports?
Which tool is best for statistical models, forecasting, regression?
Are these tools good for text mining, ETL processes?
Can these tools substitute SQL or Oracle to some extent?
AND THE LIST GOES ON.................................................
Some may ask:
Which one is better to get nice job?
Which tool can pay me more salary?
AND LOT OF OTHER QUESTIONS.................
This article just summarizes the comparison between these tools. This comparison is mainly done on the features provided by SAS, SPSS, STATA etc.
Is SAS best tool available for data mining? SPSS, Stata, Splus, Spotfire, Clementine......list goes on...In these 3 years I used all of these tools...Die-hard programmers say that these tools are useless..."We can build everything on C++ or JAVA in MUCH BETTER WAY"On the other side, someone using SAS doesn't like SPSS and so on...
Some jobs are specific to Spotfire or SAS.
Bottomline is if you can use one tool...then you are smart enough to use another....
Institutional researchers tend to have varying needs for data analysis, and people who become institutional researchers also tend to have varying levels of statistical education or training. Fortunately, the market for statistical software is strong enough to support at least three major products by different vendors. In a recent software review by Acock, we get an understanding of how three major products (SAS, Stata, and SPSS) differ, and these observations should help institutional researchers (or their offices) select the appropriate statistical program. Acock’s observations include the following, among others:
1. "SPSS is all you need if you can minimize complex data management and if you are not going to do cutting edge statistical analysis. If you only open a statistical program twice a month, SPSS has clear advantages because it is so much like the familiar Excel spreadsheet."
2. "SAS is a likely choice for a person who manages complex data sets on a continuous basis. These people will use SAS several hours a day, and the steep learning curve and complex command structure are a small price to pay for the extraordinary power. The challenging documentation gives them new ideas on things they can do."
3. "Stata is your choice if you want to do cutting edge research but do not have the data management needs that require SAS. Stata is ideal for people who are developing or modifying statistical procedures…"
4. "SAS is especially strong in analysis of variance (ANOVA), the general linear model, and their extensions. Indeed, there are few statistical or graphic tasks that you cannot do in SAS, but often you find that SAS is a long way down the list on ease of use…There is little danger that most researchers will outgrow the evolving capabilities of SAS…"
5. "SPSS…is reasonably strong on ANOVA-related procedures. Looking to the future, it is fair to say that it will be the weakest of the three packages in the scope of statistical procedures it offers…An advantage of SPSS over SAS is that SPSS largely abandoned its mainframe version and revised its syntax to be consistent with a single user…Although all three have a menu-driven option, the point and click menus in SPSS are the easiest to learn…Like SAS, SPSS’s vision has moved away from an academic research focus…SPSS seems to invest more of its development in marketing-oriented graphics that no academic journal would publish than it invests in developing new procedures for data analysis…"
6. "Statistical analysis using Stata is relatively weak on ANOVA and only adequate on factor analysis but extraordinary on regression analysis, complex survey designs, limited dependent variables, epidemiological methods, survival analysis, panel designs, time series, and diagnostics…Although Stata has the smallest development team, all their efforts are focused on the statistical needs of scholars. Looking to the future, Stata may have the strongest collection of advanced statistical procedures…Stata has a command structure that is simple and consistent…The consistency of Stata is impressive…User-developed procedures can be installed over the Internet without leaving Stata…This expandability of Stata is its special strength…The documentation for Stata is excellent, and the ability to download data sets that are used in the examples in the documentation is very helpful…
Few researchers would decide to acquire a primary statistical package solely on the basis of an overview; they would really want to have some "hands-on" experience with the products as well. But this article should help researchers evaluate some basic qualities of these products before they decide upon a "test drive" of one or more of them.
........................................................ I hope these points give you at least overview of which statistical tool is good for which task.
Going ahead in next post, I will be mentioning all online training material on SAS; which is used widely for marketing analytics, sales analytics, Clinical trials, Ad hoc reporting and so many other tasks throughout all industries.
Thanks,
alltutorial05@gmail.com
Which one has highest market value right now?
Which can get your work done quickly?
Which tool is best for customized reports?
Which tool is best for statistical models, forecasting, regression?
Are these tools good for text mining, ETL processes?
Can these tools substitute SQL or Oracle to some extent?
AND THE LIST GOES ON.................................................
Some may ask:
Which one is better to get nice job?
Which tool can pay me more salary?
AND LOT OF OTHER QUESTIONS.................
This article just summarizes the comparison between these tools. This comparison is mainly done on the features provided by SAS, SPSS, STATA etc.
Is SAS best tool available for data mining? SPSS, Stata, Splus, Spotfire, Clementine......list goes on...In these 3 years I used all of these tools...Die-hard programmers say that these tools are useless..."We can build everything on C++ or JAVA in MUCH BETTER WAY"On the other side, someone using SAS doesn't like SPSS and so on...
Some jobs are specific to Spotfire or SAS.
Bottomline is if you can use one tool...then you are smart enough to use another....
Institutional researchers tend to have varying needs for data analysis, and people who become institutional researchers also tend to have varying levels of statistical education or training. Fortunately, the market for statistical software is strong enough to support at least three major products by different vendors. In a recent software review by Acock, we get an understanding of how three major products (SAS, Stata, and SPSS) differ, and these observations should help institutional researchers (or their offices) select the appropriate statistical program. Acock’s observations include the following, among others:
1. "SPSS is all you need if you can minimize complex data management and if you are not going to do cutting edge statistical analysis. If you only open a statistical program twice a month, SPSS has clear advantages because it is so much like the familiar Excel spreadsheet."
2. "SAS is a likely choice for a person who manages complex data sets on a continuous basis. These people will use SAS several hours a day, and the steep learning curve and complex command structure are a small price to pay for the extraordinary power. The challenging documentation gives them new ideas on things they can do."
3. "Stata is your choice if you want to do cutting edge research but do not have the data management needs that require SAS. Stata is ideal for people who are developing or modifying statistical procedures…"
4. "SAS is especially strong in analysis of variance (ANOVA), the general linear model, and their extensions. Indeed, there are few statistical or graphic tasks that you cannot do in SAS, but often you find that SAS is a long way down the list on ease of use…There is little danger that most researchers will outgrow the evolving capabilities of SAS…"
5. "SPSS…is reasonably strong on ANOVA-related procedures. Looking to the future, it is fair to say that it will be the weakest of the three packages in the scope of statistical procedures it offers…An advantage of SPSS over SAS is that SPSS largely abandoned its mainframe version and revised its syntax to be consistent with a single user…Although all three have a menu-driven option, the point and click menus in SPSS are the easiest to learn…Like SAS, SPSS’s vision has moved away from an academic research focus…SPSS seems to invest more of its development in marketing-oriented graphics that no academic journal would publish than it invests in developing new procedures for data analysis…"
6. "Statistical analysis using Stata is relatively weak on ANOVA and only adequate on factor analysis but extraordinary on regression analysis, complex survey designs, limited dependent variables, epidemiological methods, survival analysis, panel designs, time series, and diagnostics…Although Stata has the smallest development team, all their efforts are focused on the statistical needs of scholars. Looking to the future, Stata may have the strongest collection of advanced statistical procedures…Stata has a command structure that is simple and consistent…The consistency of Stata is impressive…User-developed procedures can be installed over the Internet without leaving Stata…This expandability of Stata is its special strength…The documentation for Stata is excellent, and the ability to download data sets that are used in the examples in the documentation is very helpful…
Few researchers would decide to acquire a primary statistical package solely on the basis of an overview; they would really want to have some "hands-on" experience with the products as well. But this article should help researchers evaluate some basic qualities of these products before they decide upon a "test drive" of one or more of them.
........................................................ I hope these points give you at least overview of which statistical tool is good for which task.
Going ahead in next post, I will be mentioning all online training material on SAS; which is used widely for marketing analytics, sales analytics, Clinical trials, Ad hoc reporting and so many other tasks throughout all industries.
Thanks,
alltutorial05@gmail.com
Introduction
This blog is nothing more than just compilation of all possible tutorials and training material available on internet. This attempt is just to make sure that whenever somebody wants to learn some new language such as C, C++, JAVA, C# or some new concept such as WEB 2.0, NASH EQUILIBRIUM etc. or some new BI tools such as SAS, SPSS, Clementine, COGNOS.......
............................................all the respective material is available to user through this blog.
I have done these attempts previously also but those were on little amateurish level. But, this time I want to make sure that this blog is giving proper knowledge to people about how to learn something new in faster and easier way. As well time to time I will keep updating people on jobs in these areas...future opportunities...new research taking place about these technologies...etc.
Please email me if you have any suggestions about improving this blog further.
............................................all the respective material is available to user through this blog.
I have done these attempts previously also but those were on little amateurish level. But, this time I want to make sure that this blog is giving proper knowledge to people about how to learn something new in faster and easier way. As well time to time I will keep updating people on jobs in these areas...future opportunities...new research taking place about these technologies...etc.
Please email me if you have any suggestions about improving this blog further.
Subscribe to:
Posts (Atom)