数据科学和机器学习

This is the third in a series of posts on how to build a Data Science Portfolio. If you like this and want to know when the next post in the series is released, you can .

这是有关如何构建数据科学产品组合的系列文章中的第三篇。 如果您喜欢这种方式，并且想知道该系列的下一篇文章何时发布，可以 。

Data science companies are increasingly looking at portfolios when making hiring decisions. One of the reasons for this is that a portfolio is the best way to judge someone’s real-world skills. The good news for you is that a portfolio is entirely within your control. If you put some work in, you can make a great portfolio that companies are impressed by.

数据科学公司在制定雇用决策时越来越多地考虑投资组合。 原因之一是投资组合是判断某人实际技能的最佳方法。 对您来说，好消息是投资组合完全在您的控制范围内。 如果您投入一些工作，则可以为公司留下深刻的印象。

The first step in making a high-quality portfolio is to know what skills to demonstrate. The primary skills that companies want in data scientists, and thus the primary skills they want a portfolio to demonstrate, are:

制作高质量作品集的第一步是知道要展示什么技能。 公司在数据科学家中需要的主要技能，因此他们希望产品组合展示的主要技能是：

• Ability to communicate
• Ability to collaborate with others
• Technical competence
• Ability to reason about data
• Motivation and ability to take initiative

• 沟通能力
• 与他人合作的能力
• 技术能力
• 推理数据的能力
• 动机和主动能力

翻译自:

数据科学和机器学习