Beginning Data Science in R 4, Second Edition 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.

## Book Details | |

Publisher: | Apress |

By: | Thomas Mailund |

ISBN-13: | 9781484281543 |

ISBN-10: | 1484281543 |

Year: | 2022 |

Pages: | 511 |

Language: | English |

## Book Preview | |

Online | Beginning Data Science in R 4, 2nd Edition |

## Paper Book | |

Buy: | Beginning Data Science in R 4, 2nd Edition |

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