Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist (R語言數據科學入門：數據分析、視覺化與建模)

Thomas Mailund

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist
  • 出版商: Apress
  • 出版日期: 2017-03-13
  • 定價: $1,980
  • 售價: 8.0 折 $1,584
  • 語言: 英文
  • 頁數: 384
  • 裝訂: Paperback
  • ISBN: 1484226704
  • ISBN-13: 9781484226704
  • 相關分類: R 語言、Data Science

    • 立即出貨(限量) (庫存=2)

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商品描述

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.
 
Beginning 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. 
 
What You Will Learn
  • 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
 
Who This Book Is For
 
Those with some data science or analytics background, but not necessarily experience with the R programming language.
 

商品描述(中文翻譯)

在R中發現數據分析和軟件開發的最佳實踐，並開始成為一名全面發展的數據科學家的道路。本書教授您數據操作和可視化的技巧，並展示了開發R的新軟件包的最佳方法。

《Beginning Data Science in R》詳細介紹了數據科學是統計學、計算科學和機器學習的結合。您將了解如何高效地結構化和挖掘數據，提取有用的模式並建立數學模型。這需要計算方法和編程，而R是一種理想的編程語言。

本書基於作者在使用R編程語言進行數據科學和統計編程的課程中所教授的一些講義。現代數據分析需要計算能力，通常需要至少一定的編程能力。

您將學到什麼：

- 使用統計學和R編程語言進行數據科學和分析
- 可視化和探索數據，包括處理大數據中的大型數據集
- 構建R軟件包
- 測試和檢查您的代碼
- 實踐版本控制
- 分析和優化您的代碼

適合對數據科學或分析有一定背景，但不一定具有R編程語言經驗的讀者。

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