Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs
by 作者: Thomas W. MacFarland (Author)
Publisher Finelybook 出版社: Springer
Edition 版本: 2024th
Publication Date 出版日期: 2024-05-11
Language 语言: English
Pages 页数: 545 pages
ISBN-10 书号: 303146382X
ISBN-13 书号: 9783031463822
Book Description
Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term “data science” and discusses the many professional skills and competencies affiliated with the industry. With data science being a leading indicator of interest in STEM fields, the text also investigates this ongoing growth of demand in these spaces, with the goal of providing readers who are entering the professional world with foundational knowledge of required skills, job trends, and salary expectations.
The text provides a historical overview of computing and the field’s progression to R as it exists today, including the multitude of packages and functions associated with both Base R and the tidyverse ecosystem. Readers will learn how to use R to work with real data, as well as how to communicate results to external stakeholders. A distinguishing feature of this text is its emphasis on the emerging use of APIs to obtain data.
From the Back Cover
The text provides a historical overview of computing and the field’s progression to R as it exists today, including the multitude of packages and functions associated with both Base R and the tidyverse ecosystem. Readers will learn how to use R to work with real data, as well as how to communicate results to external stakeholders. A distinguishing feature of this text is its emphasis on the emerging use of APIs to obtain data.
About the Author
Thomas W. MacFarland, Ed.D., is senior research associate (Office of Institutional Effectiveness) and associate professor (College of Computing and Engineering) at Nova Southeastern University, Fort Lauderdale, Florida. Dr. MacFarland maintains an active research agenda, using R for data organization, statistical analyses, and graphical presentations.
