Top 5 Books to Learn Data Science in 2020

栏目: IT技术 · 发布时间: 5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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可用性工程

可用性工程

尼尔森 / 刘正捷 / 机械工业出版社 / 2004-1 / 28.00元

《可用性工程》系统地介绍可用性工程,被国际可用性工程界一致推崇为该领域的最佳入门书籍。《可用性工程》着重讲述了能取得良好成本效益的可用性方法,并详细介绍了在软件开发生命周期的不同阶段如何运用这些方法,以及其他与可用性相关的特殊问题。一起来看看 《可用性工程》 这本书的介绍吧!

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