Abstract
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.
| Original language | English |
|---|---|
| Publisher | Springer International Publishing AG |
| Number of pages | 528 |
| ISBN (Electronic) | 9783031463839 |
| ISBN (Print) | 9783031463822 |
| DOIs | |
| State | Published - Jan 1 2024 |
Bibliographical note
Publisher Copyright:© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
ASJC Scopus Subject Areas
- General Computer Science
- General Mathematics
- General Medicine
Keywords
- agriculture
- API
- bioinformatics
- biology
- medical informatics
- R language
- R programming
- tidyverse
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