面试官说让人事与我谈谈
The word portfolio used to scare me. It sounded so professional and unattainable. I didn’t know what exactly was expected of me. I thought I would have to make my projects look very sleek and perfect. I thought it would have to include projects with some sort of breakthrough or a novel idea in data science. I thought that I would first have to be working professionally as a data scientist to have a portfolio. I thought maybe if I didn’t do projects for a client or in a professional setting, they wouldn’t matter. And it didn’t make it better that most advice on the internet about finding a job mentioned having a portfolio.
投资组合一词曾经吓到我。 听起来是如此专业和难以企及。 我不知道对我到底有什么期望。 我认为我必须使我的项目看起来非常时尚和完美。 我认为它必须包括在数据科学方面具有某种突破或新颖思想的项目。 我认为我首先必须是专业的数据科学家才能拥有投资组合。 我以为也许我不为客户或专业环境做项目，那就没关系了。 互联网上关于找工作的大多数建议都提到拥有一份投资组合，这并没有使它变得更好。
I’m pretty sure, as an aspiring data scientist, you hear about the importance of having a portfolio every other day. But there is no reason to be anxious about it. Let’s talk about portfolios.
我很确定，作为一个有抱负的数据科学家，您听说过每隔一天拥有一个投资组合的重要性。 但是没有理由对此感到担忧。 让我们谈谈投资组合。
Don’t be overwhelmed by the word itself. People like using fancy words and portfolio is a fancy word for saying a collection of your works. It is a collection of things you worked on, you put effort and thought into. Anything that illustrates what you learned so far and clever solutions you thought of.
不要被这个词本身淹没。 人们喜欢用花哨的单词和作品集来表达自己的作品集。 它是您所做的工作，付出的努力和思想的汇集。 任何可以说明您到目前为止所学内容以及您所想到的明智解决方案的内容。
Your work doesn’t have to be professional. There doesn’t have to be stakeholders. Think about it from an employer’s point of view. Before they hire someone, they want to be able to see with some evidence, what the applicant knows. Python might be one of the skills you mention on your CV, but can you show a piece of your code in Python? Your cover letter might say that you finished five online courses but can you show a project where you analysed the data and trained a machine learning algorithm yourself?
您的工作不必专业。 不必有利益相关者。 从雇主的角度考虑。 在他们雇用某人之前，他们希望能够以一些证据看到申请人所知道的。 Python可能是您在简历中提到的技能之一，但是您可以用Python展示一段代码吗？ 您的求职信可能说您完成了五门在线课程，但是您能否展示一个您自己分析数据并训练机器学习算法的项目？
Employers mostly just want to see some evidence. Your work doesn’t have to be cutting-edge or perfect. It just needs to be somewhere where they can see it and look through it.
雇主大多只是想看看一些证据。 您的工作不必是前沿的或完美的。 它只需要在他们可以看到并查看它的地方即可。
All you have to do is to choose a platform where you can effectively present your work. A couple of popular platforms are: a personal website/blog, a GitHub account, a Medium blog.
您要做的就是选择一个可以有效展示您的作品的平台。 几个流行的平台是：个人网站/博客，GitHub帐户，中型博客。
No matter the format or the platform you choose to present your work, you need to cover a couple of points. Talk about
无论您选择展示作品的格式或平台，都需要涵盖两点。 谈论
The problem you decided to solve with your project, 您决定通过项目解决的问题， The data that you used, 您使用的数据， The problems with the data and how you solved them, 数据问题以及您如何解决它们， The results you got and what they mean for your problem. 您得到的结果以及它们对您的问题意味着什么。You can include charts and graphics but it really doesn’t have to be cosmetically perfect for your portfolio to matter. The content is what matters.
您可以包含图表和图形，但实际上它不一定完全适合您的投资组合。 内容很重要。
At the end of the day, you want to show that you are aware of main data science concepts, you know how to deal with problems, you know how to avoid potential pitfalls and you can think of creative solutions for potential problems.
最终，您希望证明自己了解主要的数据科学概念，知道如何处理问题，知道如何避免潜在的陷阱，并且可以想到针对潜在问题的创造性解决方案。
Don’t get stressed about amazing looking portfolios people put out there. Comparing yourself to people who already have a couple of years of professional experience is not useful. It’s much easier to collect projects once you’re working. You’ll get there. The first thing is to actually get a job and to get a job, you need to focus on learning and showing off what you learned.
不要对那些摆在人们面前的惊人投资组合感到压力。 与已经拥有几年专业经验的人进行比较是没有用的。 工作后，收集项目要容易得多。 你会到达那里。 首先是要真正找到一份工作，然后找到一份工作，您需要专注于学习并炫耀所学。
And you know what the best portfolio is? The one that exists. The important thing is to get your hands dirty. This is not new advice from me. I really think that the earlier you start doing projects the better. Because that’s how you build upon the theoretical knowledge you gained from online courses and books.
您知道最佳组合是什么吗？ 存在的那个。 重要的是弄脏您的手。 这不是我的新建议。 我真的认为，越早开始进行项目越好。 因为这就是您从在线课程和书籍中获得的理论知识的基础。
Trial and error takes time though. It might be somewhat inefficient to start a project and struggle your way through it by yourself. It helps to have someone around you who can help you make good choices on decision points, point out your mistakes and hint at what you should learn next.
反复试验需要时间。 开始一个项目并自己艰难地完成项目可能会效率低下。 身边有人可以帮助您在决策点上做出明智的选择，指出您的错误并提示您接下来应该学习什么，这会有所帮助。
I didn’t have anyone like that when I first ventured into data science. So it took me quite a bit of time to figure out how to make a proper data science project, what to look out for, how to decide on algorithms and many other things… Luckily, I had an internship that gave me enough space and time to learn things by trial and error. Not everyone might have an abundance of time to start their own project though.
当我第一次涉足数据科学时，我没有这样的人。 因此，我花了很多时间来弄清楚如何进行适当的数据科学项目，要寻找的内容，如何确定算法以及许多其他事情……幸运的是，我有一个实习生，给了我足够的空间和时间通过反复试验学习事物。 但是，并非每个人都有足够的时间来开始自己的项目。
I’m working on something that’s going to help you with this exact problem. With it, you’ll be able to see how a data science project is done from start to finish and be ready to start your own projects that will form your portfolio. I will announce it in more detail soon. Stay tuned for updates!
我正在努力为您解决这个确切的问题。 有了它，您将能够看到数据科学项目从头到尾的完成方式，并准备开始自己的项目，这些项目将构成您的投资组合。 我将在不久后更详细地宣布。 请继续关注更新！
In the meantime, think of things that you enjoy doing, watching or reading about. Can you come up with a project about any of them? If you can, write them down and when you’re ready, you can make a project about one of your interests to show off your skills to your next employer.
同时，想一想您喜欢做，观看或阅读的事情。 您可以提出一个有关其中任何一个的项目吗？ 如果可以，请将它们写下来，当您准备好后，就可以针对自己的兴趣之一进行项目设计，向下一位雇主展示自己的技能。
Originally published at https://www.soyouwanttobeadatascientist.com.
最初发布在 https://www.soyouwanttobeadatascientist.com上 。
翻译自: https://towardsdatascience.com/lets-talk-about-portfolios-d2d02f3c1ffd
面试官说让人事与我谈谈
