Hi, I am a software engineer with 12 years of experience. I need some suggestions. 1: Is it too late now to learn Data Science and pursue a career in it? 2: If I want to learn the necessary concepts of ML what path I should follow? 3: I find the maths behind the ML models a bit confusing can anyone please suggest any good resource for that?
Buddy, you've been coding for 12 years and now you want to jump into Data Science? Matlab, you're not a teenager anymore. And you're confused about maths? Seriously? You should've paid attention in school. Now, tell me, why do you want to switch to Data Science? Is it for the money or the hype?
My 12 years of experience includes working with databases(both SQL and NoSQL), shell scripting Springboot, Python etc. I am not confused on maths, I asked because I wanted to know the mathematical concepts used by various ML algorithms, and I want to know in detail. Not just by importing the library and using the provided algorithms in it.
I hope this has clarified your doubts about my education.
Now coming to your question, like I said most of my work is related to databases and I do well in data analysis also. I have played roles like data analyst and data engineer, I also a got chance to do data analysis in one of the projects where the team was trying to build an ML model for a particular use case and because of that I got curious about how these models are working under the hood so I asked.
Did you know about the ML models from your school?
If you are a software engineer start with MLOps and slowly move towards Data Science.
That would be much simpler..
Start with Python and build on top of it
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I am a fresher working as a Data analyst in a growing startup. My current role doesn't include much of coding just python and SQL and sometimes little bit ML work. Currently handling 2 projects, and some of PM work to define some roadmap...
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