Introduction to Data Science in Biostatistics
Using R, the Tidyverse Ecosystem, and APIs
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Beschreibung
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.
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.
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
Autor*in
Thomas W. MacFarland
Themen in »Introduction to Data Science in Biostatistics«
agriculture API tidyverse R programming R language biology medical informatics bioinformatics
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“The book is well illustrated and includes input (in green) and output (in red) of sessions in the projects. The charts produced by the graphical tools are readable and serve as models for exploratory graphics. The data files are large zip files that can be downloaded from the publisher using the included uniform resource locators (URLs). The wealth of projects and the guidance provided to users would make this book very useful in advanced-level practicum/lab courses.” (Anthony J. Duben, Computing Reviews, March 13, 2025)
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