How to jump from manual testing to data science

I have two years of experience in manual testing , and i want to make career in another field like Data Science , Mean Stack , DevOps and cloud. In these options which option will consider my previous experience

In any of the stacks mentioned above, you must know how to code. Manual testing, depending on what kind of manual testing you’re doing, doesn’t revolve around coding.

So I’d say the first step you should take is learn how to code (paradigms, algorithms, design patterns, etc) and then make your way to Data Science / DevOps.

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