Requirements: .PDF reader, 21.5 MB
Overview: 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. This text was developed to assist beginning students and early stages researchers in their attempt to make sense of how software can be used in biostatistics, viewing an all-pervasive concept of biostatistics in the large and the many disciplines associated with biostatistics. To meet this challenge, R was selected as the most appropriate programming language, calling on Base R (e.g., the many functions made available when R is first downloaded) and supporting packages (e.g., the thousands of auxiliary R software collections that provide functionality far beyond what is available in Base R, especially packages associated with the Tidyverse ecosystem).
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/0VML6Di
https://katfile.com/cm02cka0w49b/Introd … s.pdf.html.
