How are typical data science interviews? Do they delve into classic algorithm problems, optimization and data structure design or do they get into statistics concepts and linear algebra? I am a software engineer who intends to move to a data science role and curious about how to prepare for daa science interviews. From a preparation standpoint I have taken the popular intro to data science course on coursera by Andrew Ng and completed few projects available on kaggle.
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