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TLDR: No, it is not required for someone with your background to take "Python for everyone" beforehand. I have taken the "Applied Data Science with Python Specialization" by UofM and it provided a very soft start in terms of Python for Data Science. Also, see the description of the first course of the specialization "Introduction to ...


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Dataquest is a great place to start. It will help you bridge the gap from just learning to actually coding as a data analyst, data engineer, or data scientist. Unlike most online courses, there are no videos, and they provide an interactive coding and learning environment that makes it very easy to learn the practical techniques you'll actually need to work ...


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First of all, Congrats that you have started your journey of becoming a Data engineer/analyst. According to me there is no clear path on how to become a Data analyst. Applied data science with Python course is great but i would urge you to start working on problem statement of any domain (NLP,CV) and take part in competition where you will learn how to ...


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There a three dimensions of knowledge you need to be a generally competent data scientist: Statistical / Mathematical knowledge Programming / CS skills Domain knowledge I think studying and courses help in 1) and to a degree in 2) but not at all in 3. If you feel confident enough in 1/2 that you can solve some real life cases it would be best to start ...


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