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Beginning Data Science in R

Data Analysis, Visualization, and Modelling for the Data Scientist

  • Thomas Mailund

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Thomas Mailund
    Pages 1-28
  3. Thomas Mailund
    Pages 29-44
  4. Thomas Mailund
    Pages 45-73
  5. Thomas Mailund
    Pages 75-111
  6. Thomas Mailund
    Pages 113-124
  7. Thomas Mailund
    Pages 125-167
  8. Thomas Mailund
    Pages 169-204
  9. Thomas Mailund
    Pages 205-231
  10. Thomas Mailund
    Pages 233-256
  11. Thomas Mailund
    Pages 257-267
  12. Thomas Mailund
    Pages 269-280
  13. Thomas Mailund
    Pages 281-286
  14. Thomas Mailund
    Pages 287-301
  15. Thomas Mailund
    Pages 303-346
  16. Back Matter
    Pages 347-352

About this book

Introduction

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.

Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. 

This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. 

You will:
    Perform data science and analytics using statistics and the R programming language
  • Visualize and explore data, including working with large data sets found in big data
  • Build an R package
  • Test and check your code
  • Practice version control
  • Profile and optimize your code

Keywords

R programming statistics data science big data machine learning deep learning ai cloud analytics coding software

Authors and affiliations

  • Thomas Mailund
    • 1
  1. 1.AarhusDenmark

Bibliographic information