SAS for R Users A Book for Data Scientists
SAS for R Users: A Book for Data Scientists by Ajay Ohri, published by John Wiley & Sons on September 24, 2019, is a comprehensive guide designed for individuals familiar with R who wish to learn SAS. This 208-page edition provides a structured approach to bridging the gap between these two widely-used software environments, focusing on their statistical and graphical capabilities. The book aims to equip entry-level data scientists with the skills necessary to leverage both tools effectively in their analytics workflows.
Readers will find a clear, step-by-step framework that includes command-by-command translations between R and SAS, along with practical examples and applications in both languages. The content is tailored for practitioners and students, featuring color illustrations, sample code, and chapter quizzes to enhance learning. Additionally, the book covers advanced methods and applications, making it a valuable resource for those looking to enhance their coding and statistical knowledge in the fields of data science and business analytics.
Official synopsis Publisher
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 analyze 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, color 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.
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