R Programming for Data Science
R Programming for Data Science
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R Programming for Data Science

Last updated on 2016-12-22

About the Book

Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. 

This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.

If you are interested in a printed copy of this book, you can purchase one at Lulu.

Packages

The Book

This package contains just the book in PDF, EPUB, or MOBI formats.

  • English

  • PDF

  • EPUB

  • MOBI

  • APP

Free!
Minimum
$20.00
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The Book + Datasets + R Code Files

This package contains the book and R code files corresponding to each of the chapters in the book. The package also contains the datasets used in all of the chapters so that the code can be fully executed.

Includes:

  • extras
    Datasets
  • extras
    R Code Files
  • English

  • PDF

  • EPUB

  • MOBI

  • APP

$20.00
Minimum
$25.00
Suggested
The Book + Lecture Videos (HD) + Datasets + R Code Files

This package includes the book, high definition lecture video files (720p), datasets and R code files for all chapters. The collection also contains live demonstrations of how to use various aspects of R that could not be included in the book. The videos are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license.

Includes:

  • extras
    Datasets
  • extras
    R Code Files
  • extras
    Lecture Videos (HD)
  • English

  • PDF

  • EPUB

  • MOBI

  • APP

$30.00
Minimum
$35.00
Suggested

About the Author

Roger D. Peng
Roger D. Peng

Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is also a co-founder of the Johns Hopkins Data Science Specialization, the Simply Statistics blog where he writes about statistics for the general public, the Not So Standard Deviations podcast with Hilary Parker, and The Effort Report podcast with Elizabeth Matsui. He is the recipient of the 2016 Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to public health. Roger can be found on Twitter and GitHub at @rdpeng.

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