Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs

by: Thomas W. MacFarland (Author)

Publisher: Springer
Edition: 2024th

Publication Date: 11 May 2024

Language: English

Print Length: 545 pages

ISBN-10: 303146382X

ISBN-13: 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 lea how to use R to work with real data, as well as how to communicate results to exteal stakeholders. A distinguishing feature of this text is its emphasis on the emerging use of APIs to obtain data.
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 lea how to use R to work with real data, as well as how to communicate results to exteal stakeholders. A distinguishing feature of this text is its emphasis on the emerging use of APIs to obtain data.