2015-08_bryan-jsm-stat-data-sci-talk

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2015-08_bryan-jsm-stat-data-sci-talk

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Bryan talk at JSM 2015 re: are statisticians data scientists

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# 2015-08_bryan-jsm-stat-data-sci-talk

[The Statistics Identity Crisis: Are We Really Data Scientists?](https://www.amstat.org/meetings/jsm/2015/onlineprogram/ActivityDetails.cfm?SessionID=211266), session organized by [Jeff Leek](http://jtleek.com)

* Presented at the Joint Statistical Meetings August 2015, Seattle.
  * Reprise as an ASA/Simply Statistics Webinar, October 2015
    - [amstat.org link](http://www.amstat.org/education/weblectures/index.cfm#JSMEncore)
    - watch it now on [youtube](https://youtu.be/JLs01Z5baSU)
  * Other speakers:
    - Alyssa Frazee, Stripe, <http://alyssafrazee.com>.  
      'Am I a Data Scientist?': The Applied Statistics Student's Identity Crisis.  
      Slides on [speakerdeck.com](https://speakerdeck.com/alyssafrazee/am-i-a-data-scientist).
    - Chris Volinsky, AT&T, <http://www2.research.att.com/~volinsky/>.  
      How Industry Views Data Science Education in Statistics Departments.  
      Slides on [dropbox](https://www.dropbox.com/s/9mktsssujsapw3t/JSM2015-DataScience-Volinsky.pdf?dl=0).
    - Lance Waller, Emory University, <http://web1.sph.emory.edu/users/lwaller/>.  
      Evaluating Data Science Contributions in Teaching and Research.  
      Slides [in this repo](2015-10_waller-data-science-promotion-tenure.pdf)

Want to see my slides?

* PDF is in this repo: [2015-08_bryan-jsm-stat-data-sci.pdf](2015-08_bryan-jsm-stat-data-sci.pdf)
  * View same over [on SpeakerDeck](https://speakerdeck.com/jennybc/teach-data-science-and-they-will-come)

Two other talks in semi-recent past with some overlap (you might like the slides or links):

* [New tools and workflow for data analysis](https://github.com/jennybc/2015-02-23_bryan-fields-talk), Fields Institute workshop, February 2015
  * [How R Markdown + Git + GitHub changed my (teaching?) life](https://github.com/jennybc/2015-06-28_r-summit-talk), R Summit and Workshop, June 2015

Links
========================================================

The Big Data Brain Drain: Why Science is in Trouble: <http://jakevdp.github.io/blog/2013/10/26/big-data-brain-drain/>

Software Carpentry: <https://software-carpentry.org>

Data Carpentry: <http://datacarpentry.org>

Reproducible Science Hackathon, December 2014: <https://github.com/Reproducible-Science-Curriculum>

STAT 545: <http://stat545-ubc.github.io>

[Slides from Hadley Wickham's talk in the Simply Statistics Unconference](http://t.co/D931Og8mq3)

2014-08-17 NYT article [For Big-Data Scientists:, 'Janitor Work' Is Key Hurdle to Insights](http://www.nytimes.com/2014/08/18/technology/for-big-data-scientists-hurdle-to-insights-is-janitor-work.html?partner=rss&emc=rss&smid=tw-nytimesscience&_r=0) by Steve Lohr

[Data carpentry](http://mimno.infosci.cornell.edu/b/articles/carpentry/) blog post by David Mimno (response to NYT article re: janitor work)

Data Science Degrees – Analyzed and Visualized: <http://www.kdnuggets.com/2015/07/data-science-degrees-analyzed.html>

Data Science Bootcamp Programs
<http://yet-another-data-blog.blogspot.ca/2014/04/data-science-bootcamp-landscape-full.html>

Johns Hopkins Data Science Specialization: <https://www.coursera.org/specializations/jhudatascience>

50 years of Data Science by David Donoho: <https://dl.dropboxusercontent.com/u/23421017/50YearsDataScience.pdf>

Data Science: The End of Statistics? by Larry Wasserman: <https://normaldeviate.wordpress.com/2013/04/13/data-science-the-end-of-statistics/>

Data science: how is it different to statistics? by Hadley Wickham: <http://bulletin.imstat.org/2014/09/data-science-how-is-it-different-to-statistics%E2%80%89/>

Data Science, Big Data and Statistics — can we all live together? by Terry Speed: <http://www.chalmers.se/en/areas-of-advance/ict/calendar/Pages/Terry-Speed.aspx>

2015-08_bryan-jsm-stat-data-sci-talk

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