Why Data Science might just not be worth it
Note from the author: This is an opinion piece, so it’s probably biased to a degree. Jobs in your country and with your skillset may vary. We don’t see the world through the same eyes. Please leave your thoughts and experiences in the comment section.

If you’re doing anything software related you’ve probably considered the option of switching to the field of data science. And why shouldn’t you, the jobs are supposedly everywhere, salaries are generally higher than in software development, and having the word “scientist” in your job title would make your mother proud.

Well, maybe not the last one, but you get the point.

After being in the field for a while now, exploring a good bit of libraries and other cool stuff, writing around 80 data science-related article, whilst in the same time exploring other options (like web and mobile development) on the side, I find my self to be qualified enough to break down the good and bad things about the field.

The focus today will primarily be on the bad things because the Internet is full of “why you should become a data scientist” and “learn data science in a month” type of articles.

With that being said, the ideal reader is someone who knows what will be the benefits from enrolling in the field but would also want to know what are the possible drawback. Also, someone who’s already in the field for a while might also find these points useful too.

Okay, without further ado, let’s begin with the first one!
['Dario Radečić']
['Programming', 'Data Science', 'Artificial Intelligence', 'Machine Learning', 'Python']