What advice would you give to maybe your students or to other data scientists?
M.A. –Well, maybe you are from a business background, or maybe from a computers science degree, or you studied medicine. It doesn’t matter. Something you have to do is to take advantage of your knowledge and say, ok, now if I want to turn into a data scientist, what am I missing? If you have studied business, maybe you lack some statistical knowledge. Or even some programming languages.
I strongly recommend you is to learn Python, R, SQL, Git…but you have to take advantage of the current skills that you have. Let’s say If you have studied computer science background, you already know how to program. You just have to focus on honing your skills in statistics and maybe in some business or soft skills.
So what matters is how you use your skills. Let’s say you studied business so become a great data scientist in a bank. If I have studied medicine I’m gonna focus on becoming a great data scientist in the pharma industry. So that’s something I really recommend you, to take advantage of your background. Because that’s what makes you different, also what makes you stand out from the crowd.
Another thing I would strongly recommend is that nowadays, cloud technologies such as Google, Azure or Amazon. That knowledge is quite important nowadays when working in a big company.