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SAS Essentials: Mastering SAS for Data Analytics

SAS Essentials: Mastering SAS for Data Analytics

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SAS ESSENTIALS

Valuable step-by-step introduction to using SAS(R) statistical software as a foundational approach to data analysis and interpretation

Presenting a straightforward introduction from the ground up, SAS(R) Essentials 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 over 25 years of teaching introductory SAS courses.

This book introduces data manipulation, statistical techniques, and the SAS programming language, including SAS macros, reporting results in tables, and factor analysis, as well as sections on character functions, variable manipulation, and merging, appending, and updating files. It features self-contained chapters to enhance the learning process and includes programming approaches for the latest version of the SAS platform.

The Third Edition has been updated with expanded examples, a new chapter introducing PROC SQL as well as new end-of-chapter exercises. The Third Edition also includes a companion website with data sets, additional code, notes on SAS programming, functions, ODS, PROC SQL, and SAS Arrays, along with solutions for instructors.

Specific sample topics covered in SAS(R) Essentials include:

  • Getting data into SAS, reading, writing, and importing data, preparing data for analysis, preparing to use SAS procedures, and controlling output using ODS
  • Techniques for creating, editing, and debugging SAS programs, cleaning up messy data sets, and manipulating data using character, time, and numeric functions
  • Other essential computational skills that are utilized by business, government, and organizations alike, and DATA step for data management
  • Using PROC to analyze data, including evaluating quantitative data, analyzing counts and tables, comparing means using T-Tests, correlation and regression, and analysis of variance, nonparametric analysis, logistic regression, factor analysis, and creating custom graphs and reports.

SAS(R) Essentials is a fundamental study resource for professionals preparing for the SAS Base Certification Exam, as well as an ideal textbook for courses in statistics, data analytics, applied SAS programming, and statistical computer applications.

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About the Book

A step-by-step introduction to using SAS(R) statistical software as a foundational approach to data analysis and interpretation

Presenting a straightforward introduction from the ground up, SAS(R) 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 over 20 years of teaching introductory SAS courses.

Divided into two sections, the first part of the book provides an introduction to data manipulation, statistical techniques, and the SAS programming language. The second section is designed to introduce users to statistical analysis using SAS Procedures. Featuring self-contained chapters to enhance the learning process, the Second Edition also includes:

  • Programming approaches for the most up-to-date version of the SAS platform including information on how to use the SAS University Edition
  • Discussions to illustrate the concepts and highlight key fundamental computational skills that are utilized by business, government, and organizations alike
  • New chapters on reporting results in tables and factor analysis
  • Additional information on the DATA step for data management with an emphasis on importing data from other sources, combining data sets, and data cleaning
  • Updated ANOVA and regression examples as well as other data analysis techniques
  • A companion website with the discussed data sets, additional code, and related PowerPoint(R) slides

SAS Essentials: Mastering SAS for Data Analytics, Second Edition is an ideal textbook for upper-undergraduate and graduate-level courses in statistics, data analytics, applied SAS programming, and statistical computer applications as well as an excellent supplement for statistical methodology courses. The book is an appropriate reference for researchers and academicians who require a basic introduction to SAS for statistical analysis and for preparation for the Basic SAS Certification Exam.


About the Author:

Alan C. Elliott, MBA, is Director of the Statistical Consulting Center at Southern Methodist University. A prolific writer, he is the author and/or coauthor of multiple "how-to" technology books and a long-time member of the American Statistical Association.

Wayne A. Woodward, PhD, is Chair and Professor of the Department of Statistical Science at Southern Methodist University (SMU). He is a Fellow of the American Statistical Association, was named an SMU Distinguished Teaching Professor in 2003, and received the Scholar/Teacher of the Year Award at SMU in 2006.


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Product Details
  • ISBN-13: 9781119042167
  • Publisher: Wiley
  • Publisher Imprint: Wiley
  • Depth: 28
  • Height: 251 mm
  • No of Pages: 528
  • Series Title: English
  • Sub Title: Mastering SAS for Data Analytics
  • Width: 175 mm
  • ISBN-10: 111904216X
  • Publisher Date: 17 Aug 2015
  • Binding: Paperback
  • Edition: 2 PAP/PSC
  • Language: English
  • Returnable: Y
  • Spine Width: 30 mm
  • Weight: 911 gr


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