Summary of Why You Probably Won't Become a Data Scientist

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The video argues that, contrary to popular belief, most people watching it won't become data scientists. The main reasons for this are the high educational barrier to entry, the large amount of content to learn, and the lack of well-defined positions. Although it can be frustrating, the successful applicant has to be passionate and selective about their job search. The author discusses the importance of grit and persistence in data science, and provides resources on how to develop these traits.

  • 00:00:00 The video argues that, contrary to popular belief, most people watching it won't become data scientists. The main reasons for this are the high educational barrier to entry, the large amount of content to learn, and the lack of well-defined positions. Although it can be frustrating, the successful applicant has to be passionate and selective about their job search.
  • 00:05:00 The author discusses the importance of grit and persistence in data science, and provides resources on how to develop these traits. He also discusses a recent competition in which he participated.

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