[ABE-L] Data Science and Statistics: different worlds?

[Nathália Demétrio]

Excelente discussão! Muito (mas muito) necessária.
Obrigada por compartilhar Doris!



On Mon, Jul 13, 2020 at 5:55 PM Doris Fontes <dsfontes em gmail.com> wrote:

> Para quem não viu ainda: esse debate aconteceu em 2015, mas continua muito
> atual e os debatedores são ótimos.
>
> Data Science and Statistics: different worlds?https://youtu.be/C1zMUjHOLr4
>
> <https://youtu.be/C1zMUjHOLr4>
> <https://youtu.be/C1zMUjHOLr4>
>
> RoyalStatSoc <https://www.youtube.com/channel/UC83oOOF9lg-g1XMT_UK1tUw>
> 5.32K subscribers
> SUBSCRIBED
> Chris Wiggins (Chief Data Scientist, New York Times) David Hand (Emeritus
> Professor of Mathematics, Imperial College) Francine Bennett (Founder,
> Mastodon-C) Patrick Wolfe (Professor of Statistics, UCL / Executive
> Director, UCL Big Data Institute) Zoubin Ghahramani (Professor of Machine
> Learning, University of Cambridge) Chair: Martin Goodson (Vice-President
> Data Science, Skimlinks) Discussant: John Pullinger (UK National
> Statistician) In the last few years data science has become an increasingly
> popular discipline. Often linked to the use and analysis of ‘big data’,
> data scientists are seen as the new professionals who can unlock the
> potential of an increasingly data-rich world, and to generate economic and
> social benefits from the data revolution. However within the world of
> statistics, the ‘big data’ and ‘data scientist’ developments are sometimes
> labelled as hypes, and ‘data science’ is seen as a rebranding of what
> should be statistics. One of the often heard criticisms of big data
> analytics is that there’s a lack of statistical rigour which can lead to
> the wrong decisions. As with any new discipline there are questions about
> exactly what data science is. Has the relevance of statistics been
> diminished because of new types of data or technologies which need a
> radical new approach? Is data science about ‘getting the job done’, and
> statistics about the deeper scientific understanding? Are our universities
> offering students the right skill sets to meet the high demand for data
> scientists?
>
> <https://youtu.be/C1zMUjHOLr4>
>
> <https://youtu.be/C1zMUjHOLr4>
>
> <https://youtu.be/C1zMUjHOLr4>
>
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