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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the
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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist Paperback - 2017

by Thomas Mailund

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Reader reviews for Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

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1. Sell Like in Trade from O'Reilly a best seller on Amazon
2. Data science, analytics and related are relevant memes for revenue in trade and ebook database services3 Data science/big data are fairly hot areas4. Adoption to help 2016 group signs and 1Q17 Group Output.

From the rear cover

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

Details

  • Title Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
  • Author Thomas Mailund
  • Binding Paperback
  • Edition Paperback
  • Pages 352
  • Volumes 1
  • Language ENG
  • Publisher Apress
  • Publication date 2017
  • Illustrated Yes
  • ISBN 9781484226704 / 1484226704
  • Weight 1.46 lbs (0.66 kg)
  • Dimensions 10 x 7 x 0.79 in (25.40 x 17.78 x 2.01 cm)
  • Category Computers - Data Base Management
  • Dewey Decimal Code 005.11

About the author

Thomas Mailund is an associate professor in bioinformatics at Aarhus University, Denmark. His background is in math and computer science but for the last decade his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.

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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

by Mailund, Thomas

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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

by Mailund, Thomas

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ISBN 10 / ISBN 13
9781484226704 / 1484226704
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paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
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Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

by Mailund, Thomas

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ISBN 10 / ISBN 13
9781484226704 / 1484226704
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Apress, 2017. Paperback. New. 480 pages. 10.00x7.00x1.00 inches.
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Item price
A$179.80
A$48.04 Delivery to USA