My framework for continually becoming a better data scientist
Once you become a data scientist, that’s not the end; this is just the beginning.
A career in data science means you constantly need to be looking to improve due to the pace of the field. It doesn’t mean you need to work continually, but you should have some processes that allow you to keep improving regularly or at least at a rate desired by you.
In this article, I will explain my framework for up-skilling in data science, and hopefully, it will clarify or give you some ideas how you can approach it as well.
The first step in anything is deciding where you want to go. Saying you want to “up-skill” is vague, so you should be clear on your direction.
What I mean by direction is kind of up to you, but in my experience, it generally means these things:
- Is there a particular area you want to learn?
- Is there a technical tool you want to learn?
- Is there a specific industry you want to get into?
- Is there a specific role of data you want to work as?