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I am not really a newbie in statistics, but I ain't an expert either. I have always been wondering what exactly is the difference between Statistics and Data Science and for that matter, how is a statistician different from a data scientist? My understanding is that these are both interchangeable terms and that there aren't really any notable differences between them.

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closed as too broad by Xi'an, mpiktas, John, Sycorax, Tim Nov 30 '15 at 13:44

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

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    $\begingroup$ You should maybe add other tags, e.g. community-wiki or something similar. This is not a topic on computational-statistics. $\endgroup$ – Gumeo Nov 30 '15 at 10:28
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    $\begingroup$ Possible duplicate of What can I read to give me a meta-view of statistics as a field $\endgroup$ – Xi'an Nov 30 '15 at 10:39
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    $\begingroup$ Your understanding is basically correct. I'd say that data science is what statistics, conventionally framed, should be: statistics is not just about models and math but also about data collection and the challenges related to curating, cleaning, maintaining and storing a modern data set. Data science = statistics + database work + subject-matter knowledge. $\endgroup$ – Sycorax Nov 30 '15 at 13:10
  • $\begingroup$ See also What characterises the difference between data science and statistics?. $\endgroup$ – Scortchi Nov 30 '15 at 13:29
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Many people like to use this diagram to answer that question: http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

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