SAS Institute, 2017. — 206 p. — ISBN: 978-1629606095. Microsoft Excel remains the leading spreadsheet application on the market; nearly every SAS user will need to move their data and reports into Excel workbooks at some point during their career. Exchanging Data From SAS to Excel: The ODS Excel Destination shows SAS users how to create Excel workbooks that are presentation...
SAS Institute, 2018. — 234 p. Dive into deep learning! Machine learning and deep learning are ubiquitous in our homes and workplaces-from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of...
Apress Media, LLC., 2023. — 627 p. — ISBN13: 978-1-4842-8609-8. SAS ODS graphics users will learn in this book how to visually understand and communicate the significance of data to deliver images for quick and easy insight, with precise numbers. Many charts or plots require the viewer to run the eye from a bar end or plot point to some point on an axis, and then interpolate...
SAS Institute, 2021. — 346 p. — ISBN: 978-1-954844-49-0. Many people are intimidated by learning statistics, but A Gentle Introduction to Statistics Using SAS Studio in the Cloud is here to help. Whether you need to perform statistical analysis for a project or, perhaps, for a course in education, psychology, sociology, economics, or any other field that requires basic...
SAS Institute, 2021. — 316 p. — ISBN: B08X4WX1C6. Get up and running with SAS using Ron Cody’s easy-to-follow, step-by-step guide. Aimed at beginners, Getting Started with SAS Programming: Using SAS Studio in the Cloud uses short examples to teach SAS programming from the basics to more advanced topics in the point-and-click interactive environment of SAS Studio. To begin, you...
2nd Ed. — SAS Institute, 2018. — 558 p. — ISBN10: 1635266599, 13 978-1635266597. Learning SAS by Example, A Programmer's Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought...
6th Edition. — SAS Institute, 2019. — 364 p. — ISBN: 978-1612903439. A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a user-friendly approach so that readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a...
2nd ed. — Wiley, 2015. — 528 p. — ISBN: 111904216X, 9781119042167. Presenting a straightforward introduction from the ground up, SAS Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using hands-on learning techniques and numerous real-world examples. Keeping different experience levels in mind, the highly-qualified author team has developed the book...
3rd Edition. — John Wiley & Sons, Inc., 2025. — 400 p. — ISBN: 978-1-394-31741-7. Become data-savvy with the widely used data and AI software Data and analytics are essential for any business, giving insight into what's working, what can be improved, and what else needs to be done. SAS software helps you make sure you're doing data right, with a host of data management,...
SAS Institute, 2024. — 344 p. — ISBN: 978-1-68580-028-4. Elevate your programming skills with PROC FCMP. In PROC FCMP User-Defined Functions, readers are introduced to the SAS Function Compiler, which enables users to create user-defined functions and subroutines. These modular, callable software components complement the diverse array of SAS built-in functions and extend the...
SAS Institute, 2024. — 120 p. — ISBN-10: 1685800092, ISBN-13: 9781685800093. Topics covered in this book include: DATA and PROC Steps. DATA Step Processing. Setting Up SAS Libraries. Importing and Exporting Data. Viewing and Summarizing Data. Sorting and De-duplicating Data. Filtering Data and Conditional Logic. SAS Functions. Formatting Variables. Combining and Aggregating...
2nd ed. — SAS Institute Inc., 2016. — 573 p. — ISBN: 9781629608013 Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP(r) bridges the gap between courses on basic statistics, which...
3rd Edition. — SAS Institute Inc., 2023. — 494 p. — ISBN: 978-1-68580-003-1. Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and the expanded third edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses on basic...
CRC Press, 2016. — 456 p. — ISBN: 9781315349770, 9781498776776, 1315349779, 9781498776806, 1498776809 All material in this book was developed using SAS Version 9.4 and SAS/STAT 13.1. It features the SURVEY family of SAS/STAT procedures, of which there are six at the time of this writing: PROC SURVEYSELECT, PROC SURVEYMEANS, PROC SURVEYFREQ, PROC SURVEYREG, PROC SURVEYLOGISTIC,...
Springer, 2018 - 679 p. - ISBN: 3319692380 2nd.ed. The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data. The book begins with an introduction beyond the basics of SAS, illustrated with...
SAS Institute, 2024. — 546 p. — ISBN: 978-1-68580-015-4. Explore financial data science using SAS. Financial Data Science with SAS provides readers with a comprehensive explanation of the theoretical and practical implementation of the various types of analytical techniques and quantitative tools that are used in the financial services industry. This book shows readers how to...
SAS Institute, 2018. — 484 p. — ISBN10: 1635265215, 13 978-1635265217. JMP 14 Predictive and Specialized Modeling provides details about modeling techniques such as partitioning, neural networks, nonlinear regression, and time series analysis. Topics include the Gaussian platform, which is useful in analyzing computer simulation experiments. The book also covers the Response...
SAS Institute, 2015. — 572 p. — ISBN: 1629594784, 9781629594781 Using JMP 12 shows you how to perform common tasks such as importing data, setting column properties, exporting analyses as graphics or HTML, and modifying JMP preferences. Details about connecting to SAS and working in the Formula Editor are also provided.
BPB Publications, 2024. — 312 p. — ISBN: 978-93-55515-971. Analytics made easy with Base and Advance. SAS KEY FEATURES. Understand the concepts of analytics. Learn SAS tools and their components used for data analytics. Learn concepts and functions for data manipulation. Explore data exploration concepts and functions. Learn the power of SQL with SAS for data analytics. Learn...
SAS Institute, 2017. — 490 p. — ISBN: 978-1607648895. See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba combines data...
Wiley, 2015. — 306 p. — ISBN: 111995021X A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides an...
Chapman and Hall/CRC, 2024. — 577 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). — ISBN: 978-1-003-16287-2. As data continues to grow exponentially, knowledge of Data Science and Machine Learning has become more crucial than ever. Machine Learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for...
SAS Institute, 2018. — 166 p. — ISBN: 9781635267099, 1635267099, 9781635267112, 1635267110. Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data. This book covers the five critical elements of...
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