SAS For Dummies (For Dummies (Computer/Tech))
ISBN: 0471788325
Category: Technical
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Description
SAS For Dummies (For Dummies (Computer/Tech))

By Stephen McDaniel, Chris Hemedinger,
Publisher: For Dummies
Number Of Pages:
Publication Date: 2007-06-12
Sales Rank: 22851
ISBN / ASIN: 0471788325
EAN: 9780471788324
Binding: Paperback
Manufacturer: For Dummies
Studio: For Dummies
Average Rating: 4
Created in partnership with SAS, this book explores SAS, a business intelligence software that can be used in any business setting or enterprise for data delivery, reporting, data mining, forecasting, statistical analysis, and more
SAS employee and technologist Stephen McDaniel combines real-world expertise and a friendly writing style to introduce readers to SAS basics
Covers crucial topics such as getting various types of data into the software, producing reports, working with the data, basic SAS programming, macros, and working with SAS and databases
Review:
Great intro to SAS- no programming required!
SAS for Dummies may seem like an oxymoron, but this book was very useful at bringing a formerly frustrated user like me back to SAS from S, Systat, and Minitab.
When I had tried SAS a few years ago, it was very heavy on programming and learning a fairly complex language (the SAS language.) As a social scientist whose forte isn't programming (I found the syntax and many manuals! of SAS programming very difficult to pick up and use), I wanted easy access to data importing, data management, graphics, and statistical analysis. This book and the new SAS product covered in this book actually fits the bill (Enterprise Guide.)
Overall, I like the main product in the book and found the sections on importing and managing data good introductions to something that used to be incredibly hard with just SAS programming. The book requires no programming, but does have a chapter for those who already program in SAS or want to run old SAS programs in EG.
I really like that I can create many of the graphs that I spent hours or days before in just a few minutes. The book also has a nice overview of many statistical analyses, including a few techniques I may able to add to my work in the future.
After just a few weeks, I can see the real value of SAS since it so much easier to do my work with Enterprise Guide. I can transition much of my simple and advanced analysis to SAS. I highly recommend this book if you are in a similar situation and need to manage, graph, and analyze your data all in one application.
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