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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WWW信息体系结构(影印版第2版)
Louis Rosenfeld / 清华大学出版社 / 2003-6 / 49.8
如今的网站和内联网已经变得比以前越来越大，越来越有价值，而且越来越复杂，同时其用户也变得更忙，也更加不能容忍错误的发生。数目庞大的信息、快速的变化、新兴的技术和公司策略是设计师、信息体系结构构建师和网站管理员必须面对的事情，而这些已经让某些网让看起来像是个快速增长却规划很差的城市——到处都是路，却无法导航。规划精良的信息体系结构当前正是最关键性的。 本书介绍的是如何使用美学和机械学的理念创建......一起来看看 《WWW信息体系结构(影印版第2版)》 这本书的介绍吧!
