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Review 1
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Average rating 3.0
In a broad sense, it is data analysis, but I think it's a course closer to a data scientist portfolio focused on modeling rather than an analyst. In my case, since I hope to go into data analysis/growth, and because I conducted projects mainly focused on problem definition/hypotheses/validation/BI visualization, it's difficult to apply, which is a pity.
Oh 😭😭 I see.. I am also disappointed and sorry that it ended up being a lecture that the student found disappointing. To let people know it's a lecture that at least deals with machine learning, I did state 'basic knowledge of how to run machine learning' in the <Prerequisite Knowledge> description, but it seems this part wasn't clearly emphasized. I will reflect your feedback and emphasize it more. If there are any parts where you need additional mentoring while taking the lecture, please feel free to leave a reply, and I will provide it. Thank you very much for your feedback!
