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An introduction to data science

An introduction to data science

Saltz, Jeffrey S; Stanton, Jeffrey M., 1961-

The authors offer an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, the book uses the R programming language and RStudior platform to make data science welcoming and accessible for all learners. After introducing the basics of data science, the book builds on each previous concept to explain R programming from the ground up. Readers will learn essential skills in data science through demonstrations of how to use data to construct models, predict outcomes, and visualise data

Paperback, Book. English.
Published Los Angeles: SAGE, 2018
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  • National College Library – Two available in Main Lending 005.74

    Barcode Shelfmark Loan type Status
    39006010686592 Main Lending 005.74 Main Lending Available
    39006010687236 Main Lending 005.74 Main Lending Available


Statement of responsibility: Jeffrey S. Saltz, Jeffrey M. Stanton
ISBN: 150637753X, 9781506377537
Intended audience: Specialized.
Note: Includes bibliographical references and index.
Physical Description: xii, 275 pages : illustrations ; 24 cm
Subject: R (Computer program language); Databases.; Information visualization.; Data mining.


  1. Introduction: Data science, many skills
  2. About data
  3. Identifying data problems
  4. Getting started with R
  5. Follow the data
  6. Rows and columns
  7. Data munging
  8. Onward with RStudio
  9. What's my function?
  10. Beer, farms, and peas and the use of statistics
  11. Sample in a jar
  12. Storage wars
  13. Pictures versus numbers
  14. Map mashup
  15. Word perfect
  16. Happy words?
  17. Lining up our models
  18. Hi Ho, Hi Ho - Datan mining we go
  19. What's your vector, Victor?
  20. Shiny web apps
  21. Big Data? Big Deal!