To understand where to upskill, going through skills requirements across your dream job descriptions can give you a very good idea of what skills are in demand and what you should become proficient at.
When breaking into data science, sharing your work and building community helps you stand out from the crowd.
Data literacy enables organizations to derive value from data.
I think the first thing you would do, if you're trying to stand out and get a career, as let's say a data scientist. In this example, I would pull 10, 20, maybe even 30 job descriptions of the job you want to have. And read through the skills requirements, just technical knowledge that they're expecting you to have. Obviously, you won't have it all. I think it's very rare that a person checks all the boxes, but at least they'll give you an idea of, okay, between these 20, 30 job descriptions I looked at, I saw the word SQL and every single one. Right. So maybe I need to learn that maybe I need to take some courses and really make sure I know the skill before I started apply to jobs. It also gives you a sense of the skills that are really in demand. So lets you sort of pick and choose what you want to study. We're living in a time when you can learn anything you want by going online by going to data camp, by going to any of these educational platforms. And it's a matter of just knowing what it is you need to learn.
About Kate Strachnyi
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