9 Common Mistakes Beginner Data Scientists Make
In this article, I will cover 9 common mistakes data scientists make when they start their careers. I personally made some of them myself a few years ago and my hope with this post is that you learn from my experience and stop making them yourself.
Data analysis is incredibly useful for all kinds of businesses and also has academic and hobbyist applications.
Nonetheless, it’s still possible to fall into numerous traps when trying to accurately interpret your data.
That’s why we’re giving you a list of the top 8 common data analysis mistakes to avoid at all costs.