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SAS for R Users

A Book for Data Scientists
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
SAS for R Users by Ajay Ohri offers an insightful guide for those who are familiar with R and want to transition to using SAS. The book explores the similarities and differences between the two statistical programming languages, providing practical examples and techniques to simplify the learning curve. It focuses on practical applications, equipping users with the skills to leverage both tools effectively in data analysis and statistical modelling.
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Format: Paperback / softback
$22699
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

If you enjoy exploring data analytics and are familiar with R, this book provides a unique opportunity to apply your knowledge to SAS. It highlights techniques for data manipulation, analytics, and programming, offering insights on using SAS with your existing R skills, making it perfect for enhancing your expertise in statistical software.

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SAS for R Users

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

BRIDGES THE GAP BETWEEN SAS AND R, ALLOWING USERS TRAINED IN ONE LANGUAGE TO EASILY LEARN THE OTHER

SAS and R are widely-used, very different software environments. Prized for its statistical and graphical tools, R is an open-source programming language that is popular with statisticians and data miners who develop statistical software and analyse data. SAS (Statistical Analysis System) is the leading corporate software in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entry-level data scientists to take advantage of the best aspects of both tools by providing a cross-functional framework for users who already know R but may need to work with SAS.

Those with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, step-by-step approach, this book presents an analytics workflow that mirrors that of the everyday data scientist. This up-to-date guide is compatible with the latest R packages as well as SAS University Edition. Useful for anyone seeking employment in data science, this book:

  • Instructs both practitioners and students fluent in one language seeking to learn the other
  • Provides command-by-command translations of R to SAS and SAS to R
  • Offers examples and applications in both R and SAS
  • Presents step-by-step guidance on workflows, colour illustrations, sample code, chapter quizzes, and more
  • Includes sections on advanced methods and applications

Designed for professionals, researchers, and students, SAS for R Users is a valuable resource for those with some knowledge of coding and basic statistics who wish to enter the realm of data science and business analytics.

Book Details

INFORMATION

ISBN: 9781119256410

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 08 October 2019

Country: United States

Imprint: John Wiley & Sons Inc

Edition: 31st edition

Audience: Professional and scholarly

DIMENSIONS

Spine width: 13.0mm

Width: 150.0mm

Height: 226.0mm

Weight: 340g

Pages: 208

About the Author

AJAY OHRIΒ is the founder of analytics startup Decisionstats.com. His research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces to cloud computing, investigating climate change, and knowledge flows. He currently advises startups in analytics off shoring, analytics services, and analytics. He is the author of Python for R Users: A Data Science Approach (Wiley), R for Business Analytics, and R for Cloud Computing.

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