Overview
- Features examples on using R to obtain data from APIs and on communicating results to external stakeholders
- Offers demonstrations in Base R and then complements outcomes with the use of tidyverse
- Provides details and guidance on careers in biostatistics, with the goal of preparing future biostatisticians
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About this book
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.
Keywords
Table of contents (7 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
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.
Bibliographic Information
Book Title: Introduction to Data Science in Biostatistics
Book Subtitle: Using R, the Tidyverse Ecosystem, and APIs
Authors: Thomas W. MacFarland
DOI: https://doi.org/10.1007/978-3-031-46383-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-46382-2Published: 11 May 2024
Softcover ISBN: 978-3-031-46385-3Due: 14 June 2024
eBook ISBN: 978-3-031-46383-9Published: 10 May 2024
Edition Number: 1
Number of Pages: XVII, 528
Number of Illustrations: 6 b/w illustrations, 91 illustrations in colour
Topics: Biostatistics, Data Structures and Information Theory, Artificial Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics, general