Top 5 Books to Learn Data Science in 2020

栏目: IT技术 · 发布时间: 6年前

In the article subtitle, I’ve mentioned the idea of books being generally better than online courses for learning data science, or in fact, learning any other tech skill. If you are a huge fan of online courses I just hope you’re reading this paragraph, and haven’t already gone to the comment section.

Let me elaborate. Books require concentration to get through, especially technical ones. On the other side, with online courses I find myself watching the video through the end, but not really paying attention. Further, knowledge from the books will just “stick” better for the majority of us.

Don’t get me wrong, online courses are great for heavily practical stuff, but reading books is a way better solution for learning basics and theoretical concepts — something necessary before jumping to code.

Combining both — books for basics and theory, and online courses for the practical part will make sure you master both aspects in the long run.

Anyhow, you’re here for the top 5 books, so let’s see which the first one is.


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R数据科学

R数据科学

[新西兰] 哈德利 • 威克姆、[美] 加勒特 • 格罗勒芒德 / 陈光欣 / 人民邮电出版社 / 2018-7 / 139.00元

本书的目标是教会读者使用最重要的数据科学工具,从而为实施数据科学奠定坚实的基础。读完本书后,你将掌握R语言的精华,并能够熟练使用多种工具来解决各种数据科学难题。每一章都按照这样的顺序组织内容:先给出一些引人入胜的示例,以便你可以整体了解这一章的内容,然后再深入细节。本书的每一节都配有习题,以帮助你实践所学到的知识。一起来看看 《R数据科学》 这本书的介绍吧!

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