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

Thomas W. Macfarland

ISBN 10: 303146382X / ISBN 13: 9783031463822

Published by Springer, Springer, 2024

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 Rand the tidyverseecosystem. 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.

Seller Inventory # 9783031463822

Bibliographic Details

• Title: Introduction to Data Science in Biostatistics : Using R, the Tidyverse Ecosystem, and APIs
• Publisher: Springer, Springer
• Publication Date: 2024
• Language: English
• ISBN 10: 303146382X
• ISBN 13: 9783031463822
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 35D millimeters 241 millimeters width by 160 millimeters height by 35 millimeters depth
• Weight: 978 grams

About this title

Synopsis

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.

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.