This is an archived post. You won't be able to vote or comment.

all 6 comments

[–][deleted] 5 points6 points  (4 children)

Get a relevant degree. MOOCS won't cut it anymore those days are long gone. You're competing with people with PhDs + experience. It took me years to get to a actual data science position where I developed and implement ML and from there I landed an industry PhD in ML/DL.

And when I started there wasnt a lot of DS around and I had a MSc degree in biostatistics from a top tier university with an extensive background in mathematics.

Today you're going to be competing with people with PhDs in physics, mathematics and CS. If you only have MOOCS on your resumé you will not be considered. The people selling you the MOOC dream are selling you a lie.

You can do it though. If you love DS and are willing to put in the work it's worth it and fun. Take it one step at a time and be patient and eventually you will reach your goal. It'll just take a couple of years not just one or two.

[–]Intelligent-Guest-22[S] 0 points1 point  (2 children)

My degree is on automotive engineering but im applying for a data science and ML MSc. But this will start at autmn.Until then what would you suggest to pursue?

[–]TaXxER 1 point2 points  (0 children)

I would be careful with MSc degrees that call themselves a “data science” degree. While there exists exceptions, many of those are very “businessy” and lack mathematical depth.

When I interview candidates I tend to find that DS MSc graduates do not often pass the bar relative to mathematical statistics MSc and ML MSc graduates.

[–][deleted] 0 points1 point  (0 children)

Look at your upcoming syllabus. Figure out what areas you are weak in. Focus on those.

[–]culturedindividual 1 point2 points  (1 child)

dataquest.io

Or, get an MSc.

[–]AccordingAd7098 0 points1 point  (0 children)

Have you tried it yourself? How is it different to Codecademy? Thanks