This friendly, easy-to-read guide gently introduces you to the most commonly used features of SAS software plus a whole lot more! Each topic is divided into an easy-to-use, self-contained, two-page layout complete with examples and graphics. This format enables new users to get up and running quickly, while the examples allow you to type in the programs and see them work! More seasoned programmers will find this guide a useful reference to have on hand.
Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming. The book contains a mixture of multiple-choice questions, open-ended discussion topics, and programming exercises with selected answers and hints. It also includes comprehensive programming projects that are designed to encourage self-study and to test the skills developed by The Little SAS Book. Whether you are using SAS Enterprise Guide for the first time, or are looking to expand your skills, this is the book for you!
A series of carefully designed tutorials help you master the basics of the tasks you'll want to do most frequently. The reference section of the book expands on the tutorial topics, covering specific features in more depth. The authors help programmers quickly become familiar with the SAS Enterprise Guide point-and-click environment.
A series of carefully designed tutorials helps readers master the basics of the tasks they will want to do most frequently. The reference section of the book expands on the tutorial topics, focusing on specific features. Book jacket. Authors Lora Delwiche and Susan Slaughter's friendly, easy-to-read writing style gently introduces readers to the most commonly used features of the SAS language. Each topic is presented in a self-contained two-page layout complete with examples and graphics.
This clear and concise format enables new users to get up and running quickly, while the examples allow readers to type in the program and see it work! Major topics featured include descriptive statistics, one- and two-sample tests, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and sample size. This is not a book that teaches statistics. Rather, SAS Statistics by Example is perfect for intermediate to advanced statistical programmers who know their statistics and want to use SAS to do their analyses.
This book is part of the SAS Press program. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic.
This book belongs on the shelf or e-book reader of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works.
All Rights Reserved. Machine learning is a powerful tool with many applications, from real-time fraud detection, recommender systems, and smart cars. It will not be long before some form of machine learning is integrated into all machines. SAS offers many different solutions to use machine learning to model and predict your data. The papers included in this special collection demonstrate how cutting-edge machine learning techniques can benefit your data analysis.
Creative data exploration and creative problem solving begin with visualizing your data. Data visualization is critical in helping consumers grasp difficult concepts or identify new patterns that emerge from their data. Our data keeps getting bigger, and we need quicker, easier ways to convey it! Topics covered in this free e-book illustrate the power of SAS solutions that are available as tools for data visualization, highlighting a variety of domains, including infographics, geomapping, and clinical graphs for the health and life sciences.
To illustrate the power and flexibility of SAS Viya, several groundbreaking papers have been carefully selected from recent SAS Global Forum presentations to introduce you to the topics and to let you sample what each has to offer. SAS software provides many different techniques to monitor in real time and investigate your data, and several groundbreaking papers have been written to demonstrate how to use these techniques.
Topics covered illustrate the power of SAS solutions that are available as tools for fraud analytics, highlighting a variety of domains, including money laundering, financial crime, and terrorism. Wayne Thompson, Manager of Data Science Technologies at SAS, defines data science as a broad field that entails applying domain knowledge and machine learning to extract insights from complex and often dark data.
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