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

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 f...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile nagusia: MacFarland, Thomas W. (Egilea)
Erakunde egilea: SpringerLink (Online service)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Cham : Springer International Publishing : Imprint: Springer, 2024.
Edizioa:1st ed. 2024.
Gaiak:
Biometry.
Artificial intelligence > Data processing.
Statistics .
Quantitative research.
Biostatistics.
Data Science.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Data Analysis and Big Data.
Sarrera elektronikoa:https://doi.org/10.1007/978-3-031-46383-9
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Aurkibidea:
  • 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.

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