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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创业就是要细分垄断
李开复、汪华、傅盛 / 文化发展出版社 / 2017-5-1 / CNY 45.00
对各方面资源极为有限的创业公司而言，想在激烈的市场竞争中站立下来的第一步是：成为细分市场的垄断者。不管是资本还是尖端人才，追逐的永远是行业里尖端的企业，第二名毫无意义。 首先，要精准定位潜在市场。这个市场的需求仍没有被满足，并且潜力巨大。其次，抓住时代和行业的红利，通过高速增长实现“小垄断”，抢滩登陆。最后，在细分领域里建立起自己的竞争壁垒，应对巨头和竞争对手的复制，去扩展更大的市场，从而扩......一起来看看 《创业就是要细分垄断》 这本书的介绍吧!
