Framing Your Data Science + Transferable Skills In The Positive
Nov 08, 2022If you're currently working as a data scientist or are aspiring to become one, you may have noticed that the field is becoming increasingly competitive. With more and more people looking to enter the field, it's important to make sure that you stand out from the crowd. In this blog post, we'll be giving some advice on how to do just that.
Frame Your Data Science Experience In The Positive
Stop Framing Your Experience in the Negative: One of the biggest mistakes that people make when trying to sell themselves is framing their experience in the negative. For example, instead of saying "I have three years of experience working with data," they'll say "I'm not an expert, but I've been working with data for three years." When you frame your own experience as a negative, your audience will follow your lead.
Not only will this make it harder for them to take you seriously, but it will also make it harder for them to see your value. Instead of degrading your own value, upgrade how you talk about yourself. We sometimes feel the need to preface our experience in the negative because we feel unqualified. It's a defense mechanism: I'll bring it up first before you can. But by doing so, we're only shooting ourselves in the foot.
Express Confidence In Your Data Skills
Another mistake that many people make is not expressing confidence in their data skills. This is especially common among those who are just starting out in their careers. Folks who are newer to the field sometimes think that because they don't have a lot of experience, they must not be good at what they do. This couldn't be further from the truth! Even if you're just starting out, you have valuable skills and knowledge that others don't. So don't sell yourself short - be confident in your abilities and let others see your value.
These are just a few pieces of advice for current and aspiring data scientists. Remember, the fields of data science, machine learning, artificial intelligence, and advanced analytics are becoming increasingly competitive so it's important to make sure that you stand out from the crowd. By following these tips, you'll be well on your way to success in data science!
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