Statistical Programming In SAS(2nd Edition)

Authors:

A. John Bailer

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

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Book details

ISBN: 036735800X, 9780367358006

Book publisher: Chapman And Hall/CRC

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Customer Reviews

Trusted feedback from verified buyers

RW
Robert Ward
4.0
This guide is very helpful if you're new to SAS or need a refresher. The examples are practical and easy to follow, which significantly boosts learning. The delivery was fast and efficient. However, it could incorporate a little more on the recent features of SAS software, which is why I'm giving it 4 stars instead of 5. Got a nice discount with my subscription, making it worth the purchase!
CG
Clara Griffin
4.0
Statistical Programming In SAS, 2nd Edition offers a balanced mix of theory and practical applications, a combination that is often hard to find in technical books. It serves well as a reference and is written in a way that’s accessible to learners at different stages. The explanations of statistical methods are particularly enlightening. However, some sections might feel a bit dense to those who are new to programming. Delivery was impressively fast, and the book arrived in perfect condition.
NR
Natalie Riley
5.0
This book covers a wealth of information and provides a solid foundation for anyone interested in statistical programming using SAS. I found the step-by-step approach incredibly helpful, and I loved the sections on advanced topics. It arrived way before the estimated delivery, which was a pleasant surprise. The membership discount I received also made it a great value for money! This is a must-have for data analysts and statisticians.
NB
Nora Bishop
3.0
The book is a decent introduction to statistical programming in SAS. It has some good points but isn't groundbreaking. Maybe I expected more advanced content.
DN
Dennis Newman
5.0
Statistical Programming In SAS, 2nd Edition is an outstanding resource for anyone looking to deepen their understanding of SAS. The explanations are crystal clear and the examples are highly relevant. As someone who has struggled with grasping statistical concepts in the past, this book was a game-changer. I appreciated the logical progression of topics, which helped me build confidence. Plus, it arrived quickly and was well-packaged. I can’t recommend it enough for both beginners and seasoned programmers looking to polish their skills.