I’ve worked with over 500 aspiring data scientists in the last few years and I’ve seen some typical mindset mistakes they tend to make. In this article, I’d like to share five of these. — Getting stuck due to syntax issues To do data science, sooner or later, you’ll need to learn how to code (mostly in Python, SQL, bash and/or R). And for everyone who’s new to coding, by far the biggest struggle is syntax.