How to make the change from QA Engineer (manual) to Data Scientist/Analyst? Is there any overlap? What should I learn?
Is the leap from QA to Data Scientist too large?
QA to data analyst, doable QA to data scientist, it's too ambitious DS need to be good with stats, comfortable with basic programming, SQL, some ML concepts, and even product knowledge for some companies. Companies like Uber have a really high bar for DS, most people are PhDs in quant background (operations research, ML, statistics etc). FB DS doesn't need ML but their stats bar is pretty high.
Thanks for your response!
Data analyst and data scientist are the same thing in most tech companies with exceptions research roles at Uber, Amazon etc. If you want to become a non-PhD product data scientist learn SQL, pandas and go through DS interview questions on the internet. That should do; be prepared to paid as much as an analyst.
Yes it’s huge, you probably need a statistics/quant degree first