Review of Modern Data Science

A. M. Miller
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引用次数: 0

Abstract

Modern Data Science with R (MDSR) is one of the first textbooks to provide a comprehensive introduction to data science for students at the undergraduate level (it is also suitable for graduate students and professionals in other fields). The authors follow the approach taken by Garrett Grolemund and Hadley Wickham in their book, R for Data Science7, and David Robinson in Teach the Tidyverse to Beginners, which emphasizes the teaching of data visualization and the tidyverse (using dplyr and chained pipes) before covering base R, along with using real-world data and modern data science methods. The textbook includes end of chapter exercises (an instructor's solution manual is available), and a series of lab activities is also under development. The result is an excellent textbook that provides a solid foundation in data science for students and professionals alike.
现代数据科学评论
现代数据科学与R (MDSR)是第一本为本科生提供全面介绍数据科学的教科书之一(它也适用于研究生和其他领域的专业人士)。作者遵循Garrett Grolemund和Hadley Wickham在他们的书《R for Data science》和David Robinson在《Teach The Tidyverse to Beginners》中采用的方法,在介绍基础R之前,强调数据可视化和Tidyverse(使用dplyr和链式管道)的教学,同时使用真实世界的数据和现代数据科学方法。教材包括章节末尾的练习(教师的解决手册是可用的),以及一系列的实验活动也在开发中。结果是一本优秀的教科书,为学生和专业人士提供了数据科学的坚实基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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