There are a lot of great online resources and websites on data science and machine learning that one can leverage in order to learn something new or maybe work on an existing skill now. The Age of Internet as they say, has made it extremely easy to access information on the go.

人们可以利用很多很棒的数据科学和机器学习在线资源和网站来学习新知识或研究现有技能。 正如他们所说，互联网时代使在旅途中访问信息变得极为容易。

One of the hardest things to do in technology is disrupt yourself

技术上最难的事情之一就是破坏自己

- Matt Mullenweg

-Matt Mullenweg

I have been approached on LinkedIn in through messages and connection requests regarding the same question countless times. And it is always something like this,

通过无数次关于同一问题的消息和连接请求，我已经通过LinkedIn与我联系。 总是这样的，

“ What exactly should I do to learn Data Science and Machine Learning….which courses to do….. and basically how to start? “.

“ 我应该做什么来学习数据科学和机器学习……。该做哪些课程……基本上是如何开始的？ ”。

The purpose of this article is to answer this question and along with it to give the readers a list of the most popular courses in this field currently. Below you will find online courses which will help you accelerate your growth in the field of data science. But know that watching videos is just going to give you a seat on the ML council, it is not going to grant you the rank of an ML master if you know what I mean, for that you will have to work on practical real-world problems and get your hands dirty with data.

本文的目的是回答这个问题，并为读者提供当前该领域最受欢迎的课程列表。 您将在下面找到在线课程，这些课程将帮助您加速数据科学领域的发展。 但是要知道，观看视频只会让您在ML理事会中占有一席之地，如果您了解我的意思，就不会授予您ML大师的职称，因为您必须在实际环境中工作问题，让您的数据变得肮脏。

What I can say though is that these courses will take you to that level from where you will be capable enough to figure out what you should do next. It is just a matter of starting out now!

不过，我可以说的是，这些课程将带您进入一个足够的水平，从那里您将有足够的能力来弄清楚下一步应该做什么。 现在就开始吧！

And that is when you will find this table helpful. These course teach you the basics all the way to the advanced topics, and it is advisable that you take your time with each and everything and understand at least the basic concepts properly before you jump in on the code — something I am sure you would want to do from the word go!

这就是您会发现此表有用的时候。 这些课程向您全面介绍了高级主题的基础知识，建议您花点时间处理所有内容，并至少至少能正确理解基本概念，然后再使用代码-我相信您一定会想要的从字上去做！

These courses are in a general order of complexity as per my own thinking. And don’t worry this is not any sort of paid advertising. I have no affiliation with any of the course providers!

按照我自己的想法，这些课程通常是复杂的。 不用担心，这不是任何付费广告。 我与任何课程提供者都没有联系！

Doing every course from the above list is not mandatory as the list covers the most popular courses and not the most necessary ones. The way I did most of the courses was to start with one and if I ever got stuck on some topic or if I wanted a better understanding on something, I used to wander on to a different course, or some blog post, or a YouTube video or even the library!

上面列表中的每门课程不是强制性的，因为该列表涵盖了最受欢迎的课程，而不是最必要的课程。 我完成大部分课程的方式是从一门课程开始，如果我曾经陷入某个主题，或者想要对某事有更好的了解，那么我通常会转而选择另一门课程，博客文章或YouTube视频甚至图书馆！

These courses are more focused on gaining knowledge on Machine Learning, Data Science and Python programming rather than a more comprehensive picture which is more structured and also contains Software Development and SQL Fundamentals.

这些课程更侧重于获取有关机器学习，数据科学和Python编程的知识，而不是更全面的介绍，因为它更具结构性，还包含软件开发和SQL基础知识。

Let me know in the comments if you need a complete Learning Path and I would be happy to help!

如果您需要完整的学习路径 ，请在评论中让我知道，我很乐意为您提供帮助！

Originally published at https://thedatascienceportal.com on July 28, 2020. For more such content head over to thedatascienceportal.

最初于 2020年7月28日 在 https://thedatascienceportal.com 上 发布。 有关更多此类内容的信息，请转到 datascienceportal 。