Question

求英文翻译

20. Build your systems to properly gather data first

Sometimes, you are lucky enough to work on a project that is the first of its kind. The system itself will be gathering data for your analysis in 6 months. Build it with the end in mind. Think about how you want to use the data, the other systems you want it to interact with, etc. Don’t merely build a functional system, and then add in the data gathering component as an afterthought.

21. Collect as much clean data as possible

Data comes from all different sources. You can get it from internal warehouses, external APIs and just about everywhere. Gather as much of it as you can, and make sure it is managed and clean.

22. Be a great story teller(Hans Rosling was and really still is one of the Best!)

When it comes down to it. We all have bosses that we have to convince we are right. As a data scientist, you have to do this all the time. Why, because you have a data backed opinion that could get really boring. You could start to tell your executives about the different percentages, and standard deviations and watch their eyes glaze over. Instead, you should develop an infographic, a presentation, anything other than a bunch of numbers. You want to elicit passion and emotion for your cause. To gain more of point one. More executive buy in, means more funding and likelihood of success.

Answer 1

20。构建系统以正确收集数据
有时候，你很幸运能从事一个项目，这是同类项目中的第一个。系统本身将在6个月内收集数据供您分析。把它建造在头脑的末端。考虑一下如何使用数据，以及希望与之交互的其他系统等等。不要仅仅构建一个功能系统，然后在数据收集组件中添加一个事后的想法。
21。尽可能多地收集干净数据
数据来自各种不同的来源。你可以从内部仓库、外部API和几乎无处不在的地方得到它。尽可能多地收集它，并确保它被管理和清洁。
22。是一个伟大的故事讲述者（汉斯·罗斯林还真的是最好的！）
当涉及到它。我们都有老板，我们必须说服我们是正确的。作为一名数据科学家，你必须一直这样做。为什么，因为你有一个数据支持的意见，可能会变得非常无聊。你可以开始告诉你的主管关于不同的百分比和标准偏差，看着他们的眼睛呆滞。相反，你应该制定一个图表，演示文稿，除了一堆数字。你想为你的事业引起激情和激情。获得更多的第一点。更多的高管买进意味着更多的资金和成功的可能性。