Building a Data Science Culture

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The Decision Maker's Handbook to Data Science
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Abstract

So, as I promised earlier, we are now going to look at the data science culture. We’re going see what a data science culture looks like and what you need to do to start building one in your own company.

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Notes

  1. 1.

    Michael Lewis, Moneyball: The Art of Winning an Unfair Game (New York: W.W. Norton & Company, 2004).

  2. 2.

    This interview appeared on Accenture’s Outlook journal (2011), issue 1. You can still find this interview here: www.eiseverywhere.com/file_uploads/db8d954d6e3f5fe4a7e67208537065ac_Accenture_Outlook_What_C_suite_should_know_about_analytics.pdf

  3. 3.

    www2.deloitte.com/content/dam/Deloitte/is/Documents/technology/deloitte-uk-tech-trends-2017-dark-analytics.pdf

  4. 4.

    https://research.googleblog.com/

  5. 5.

    https://research.fb.com/blog/

  6. 6.

    https://research.fb.com/prophet-forecasting-at-scale/

  7. 7.

    Nishikant Dhanuka, “Diary of a Data Scientist at Booking.com,” Towards Data Science, November 13, 2017, https://towardsdatascience.com/diary-of-a-data-scientist-at-booking-com-924734c71417

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© 2024 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature

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Kampakis, S. (2024). Building a Data Science Culture. In: The Decision Maker's Handbook to Data Science. Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-0279-9_12

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