Introduction to Data Science in Biostatistics - Thomas W. MacFarland

Introduction to Data Science in Biostatistics

Using R, the Tidyverse Ecosystem, and APIs
Buch | Hardcover
XVII, 528 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-46382-2 (ISBN)
128,39 inkl. MwSt

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.

lt;p>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.

1. Emergence of Data Science as a Critical Discipline in Biostatistics.- 2. Data Sources in Biostatistics.- 3. Role of Statistics for Decision Making in Biostatistics.- 4. Data Science and R, Base R, and the tidyverse Ecosystem.- 5. Statistical Analyses and Graphical Presentations in Biostatistics Using Base R and the tidyverse Ecosystem.- 6. Use of R-Based APIs to Obtain Data.- 7. Putting It All Together: R, the tidyverse Ecosystem, and APIs.

Erscheinungsdatum
Zusatzinfo XVII, 528 p. 97 illus., 91 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Naturwissenschaften Biologie
Schlagworte Agriculture • API • Bioinformatics • Biology • Medical Informatics • R language • R Programming • tidyverse
ISBN-10 3-031-46382-X / 303146382X
ISBN-13 978-3-031-46382-2 / 9783031463822
Zustand Neuware
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