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Product: Book - Paperback
Title: Handbook of Statistical Analyses Using SAS, Second Edition
Publisher: Chapman & Hall/CRC
Authors: Geoff Der, Brian S. Everitt
Rating: 4/5
Customer opinion - 4 stars out of 5
Good If you know your Statistics


This is a good book if you know statistical analysis. Do you know what to use, when and where? If you do, this book is good because if you are going to use SAS for analysis you have got to know your statistics. What good would FORTRAN be if you didn't know Algebra? You need both.



Product: Book - Hardcover
Title: Microsoft .NET Compact Framework (Core Reference)
Publisher: Microsoft Press
Authors: Andy Wigley, Mark Sutton, Rory MacLoed, Robert Burbidge, Stephen Wheelwright
Rating: 5/5
Customer opinion - 5 stars out of 5
Excellent!


I'll make my point quickly b/c I feel pretty strongly about this...if you are going to develop .NET CF apps, or want to learn about the CF, you need this book.



Product: Book - Paperback
Title: Effective Project Management: Traditional, Adaptive, Extreme, Third Edition
Publisher: Wiley
Authors: Robert K. Wysocki, Rudd McGary
Rating: 5/5
Customer opinion - 5 stars out of 5
An outstanding book for Project Managers


After having read dozen of books on this specific topic, I believe that this book is a remarkable tool for an experienced Project Manager. Wysocki,Beck and Crane did a very good job, because they have analyzed in a layman's language the most significant issues on this field. Very applicable information, well structured with easy to understand and implement examples. Their approach is customer orientated and one can learn how to monitor and control the process of a project, organize, recruit and manage a project team as well as estimate the length of a project. However, it addresses to experienced Project Managers with hands-on experience on CPM, Network scheduling and PERT method.



Product: Book - Hardcover
Title: Data Mining: Concepts and Techniques
Publisher: Morgan Kaufmann
Authors: Jiawei Han, Micheline Kamber
Rating: 2/5
Customer opinion - 2 stars out of 5
A book that you can learn nothing.


This is a book that surveys the all the commom ideas in data mining without teaching any of them. I only recommend this book for those who just want to see what's going on in data mining but do not need to learn anything.