Basically, we use SAS Programming for business intelligence, analysis of multivariates, management of data as well as predictive analytics. So to understand SAS completely, you can refer the following SAS books.<\/p>\n
Top\u00a0 SAS Books<\/h3>\n
SAS is used to perform mine, alter, manage and retrieve information from a variety of sources and perform statistical analysis. Today, the Internet of Things (IoT)<\/strong> are getting more advanced, because of SAS.<\/p>\n Here is the complete list of SAS books:<\/p>\n This is the best SAS book for beginners especially those who are looking to expand their skills should try this book. It is written by award-winning authors Susan Slaughter and Lora Delwiche. Basically, this book helps you to quickly become productive in the SAS Enterprise Guide point-and-click environment.<\/p>\n Moreover, this book contains a series of carefully designed tutorials. It helps us to master the basics of the tasks that you want to do more frequently. Also, this reference section of the book expands on the tutorial topics. Likewise, it covers specific features of SAS<\/strong> in more depth.<\/p>\n<\/div>\n To prepare for the Base Programming for SAS 9 exam, you can refer to this book.\u00a0 Even if you are a new SAS user, this book is an invaluable asset for you. It is a very convenient and comprehensive resource which covers all of the objectives tested in the exam.<\/span><\/p>\n It contains major topics that include importing and exporting raw data files, creating and modifying\u00a0SAS data sets<\/strong>, identifying and correcting data syntax and programming logic errors. Also, with this book, you will also become familiar with the enhancements as well as new functionality that is available in SAS 9.<\/span><\/p>\n In addition, in the chapter’s contents, each chapter includes a quiz.\u00a0This book also offers you a solid study resource as well as a go-to reference for your library.<\/p>\n<\/div>\n This book makes it easy to learn SAS programming as it is full of examples. Basically, it is written in an instructive and conversational tone which clearly explains each programming technique. The book illustrates it with one or more real-life examples, followed by a detailed description of how the SAS program works<\/strong>. <\/span><\/p>\n This book is divided into four major sections such as Getting Started; DATA Step Processing; Presenting and Summarizing Your Data; and Advanced Topics.<\/span><\/p>\n<\/div>\n This SAS book offers advanced SAS programmers, an all-in-one programming reference. Also, it includes advanced topics that are not easily found outside the depths of SAS documentation or more advanced training classes. In this guide, there are numerous examples that illustrate advanced techniques that take advantage of formats, interface with the macro language, and utilize the SAS Output Delivery System<\/strong>. <\/span><\/p>\n Moreover, it contains topics like operating system interfaces, table lookup techniques, and the creation of customized reports.<\/span><\/p>\n<\/div>\n New and experienced SAS users who want to prepare the SAS Base Programming for SAS 9 exam will find this guide to be an invaluable, convenient, and comprehensive resource that covers all of the objectives tested in the exam.\u00a0<\/span><\/p>\n Major topics include importing and exporting raw data files, creating and modifying SAS data sets, identifying and correcting data syntax and programming logic errors. In addition, links are provided to the exam objectives, practice exams, and other helpful resources, such as the updated Base SAS glossary<\/strong> and an expanded collection of practice data sets.<\/p>\n<\/div>\n In this book, the authors provide a quick-start guide loaded with examples. Also, it contains tips that will help users move quickly from using only one of the SAS BI Clients to using a significant portion of the system.\u00a0<\/span><\/p>\n The book clears the concept of how you can fully leverage each SAS BI solution component for a successful implementation. Mainly referring the SAS BI Clients, the authors give a quick-start guide loaded with examples and tips that help users to move quickly from using only one of the SAS BI Clients to using a sufficient portion of the system.<\/p>\n<\/div>\n This book is very easy to read and comprehensive. The book Survival Analysis Using SAS: A Practical Guide is an accessible, data-based introduction to methods of survival analysis.\u00a0<\/span><\/p>\n It includes some additional topics like censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis.\u00a0<\/span><\/p>\n This book contains major enhancements to the STRATA statement in the LIFETEST procedure. It consists of a section on the PROBPLOT command, that offers graphical methods to judge the fit of each parametric regression model; provide a demo on the use of the counting process syntax as an alternative method for handling time-dependent covariates; includes a section on cumulative incidence functions; and explains the use of the new GLIMMIX procedure to calculate random-effects models for discrete-time data.<\/span><\/p>\n<\/div>\n\n
1. The Little SAS Enterprise Guide Book<\/span><\/h4>\n
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<\/a>by Susan Slaughter & Lora Delwiche<\/em><\/p>\n2. SAS Certification Prep Guide: Base Programming for SAS 9, Third Edition<\/span><\/h4>\n
<\/a>by SAS Institute<\/em><\/p>\n3. Learning SAS by Example: A Programmer’s Guide<\/span><\/h4>\n
<\/a>by Ron Cody<\/em><\/p>\n<\/h3>\n
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4. Carpenter’s Guide to Innovative SAS Techniques<\/span><\/h4>\n
<\/a>by Art Carpenter<\/em><\/p>\n5. SAS Certification Prep Guide: Base Programming for SAS 9, Fourth Edition<\/span><\/h4>\n
<\/a>by SAS Institute<\/em><\/p>\n6. Building Business Intelligence Using SAS: Content Development Examples<\/span><\/h4>\n
<\/a>by Tricia Aanderud & Angela Hall<\/em><\/p>\n7. Survival Analysis Using SAS: A Practical Guide, Second Edition<\/span><\/h4>\n
<\/a>by Paul D. Allison<\/em><\/p>\n8. Statistical Graphics Procedures by Example: Effective Graphs Using SAS<\/span><\/h4>\n