dataquest_为什么您应该使用Dataquest学习数据科学

dataquest

When I launched Dataquest a little under two years ago, one of the first things I did was write a blog post about why. At the time, if you wanted to become a data scientist, you were confronted with dozens of courses on sites like edX or Coursera with no easy path to getting a job.

当我不到两年前启动Dataquest时，我做的第一件事就是写一篇关于Why的博客文章 。 当时，如果您想成为一名数据科学家，那么您将面对诸如edX或Coursera等网站上的数十门课程，而这并不容易。

I saw many promising students give up on learning data science because they got stuck in a loop of taking the same courses over and over. There were two main barriers to learning data science that I was trying to solve with Dataquest: the challenge of getting from theory to application, and the challenge of knowing what to learn next.

我看到许多有前途的学生放弃学习数据科学，因为他们陷入了反复学习相同课程的循环中。 我正在尝试使用Dataquest解决的两个主要学习数据科学障碍：从理论到应用的挑战，以及了解下一步学习的挑战。

I strongly believe that everyone deserves a chance to do work that they find interesting, and Dataquest was a way to put that belief into action and help others get a toehold in a difficult field. Over the past two years, we’ve made it simple to learn all of the skills you need for a data science role in one place. From basic Python to SQL to Machine Learning, Dataquest teaches you the right skills, and helps you build a portfolio of projects along the way.

我坚信每个人都应该有机会做自己认为有趣的工作，Dataquest是一种将这种信念付诸实践并帮助其他人在困难领域中站稳脚跟的方法。 在过去的两年中，我们使在一个地方学习数据科学角色所需的所有技能变得简单。 从基本的Python到SQL再到机器学习，Dataquest可以教给您正确的技能，并帮助您逐步构建项目组合。

As we’ve built the site, we’ve learned quite a few lessons on how to most effectively help our students. We’ve been gradually increasing the scope of our initial vision. In this post, I want to outline what we’re focused on now, and where we’re headed. Along the way, I hope to make the case for why Dataquest is the place you should be learning data science.

建立网站时，我们已经学到了很多关于如何最有效地帮助学生的课程。 我们一直在逐渐扩大我们的最初愿景的范围。 在这篇文章中，我想概述一下我们现在关注的重点以及前进的方向。 在此过程中，我希望说明为什么Dataquest是您应该学习数据科学的地方。

两年的观察 (Two Years Of Observations)

It’s a common refrain that learning is its own reward. Massively Open Online Course (MOOC) sites like the aforementioned edX and Coursera were created with this wisdom in mind. What we’ve found instead is that our students are learning data science because they enjoy it and because they want more interesting jobs.

人们普遍认为学习是自己的报酬。 出于上述考虑，创建了诸如上述edX和Coursera之类的大规模开放在线课程（MOOC）网站。 相反，我们发现我们的学生正在学习数据科学是因为他们喜欢它，并且因为他们想要更多有趣的工作。

This observation has pushed us to become more career-focused. The most common thing students want is a better path to data science careers, and we feel that it’s the highest leverage thing we can work on.

这种观察促使我们变得更加注重职业。 学生最想要的东西是通往数据科学职业的一条更好的道路，我们认为这是我们可以从事的最高杠杆作用。

As we help people get ready for new careers, we’ve made four key observations:

在帮助人们为新职业做好准备的过程中，我们进行了四个关键观察：

• Focus is critical to retaining knowledge, especially when you have limited time
• Motivation is the most important determinant of whether you’ll get a job
• It’s easy to get “stuck” and frustrated –