Nyc open data meetup wasserstein presentation

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It is a talk given by Wasserstein, Ronald L(Executive Director of American Statistical assosication). NYC Open Data meetup are honored to host this event on Mar 3rd. You can find more information at www.meetup.com/nyc-open-data and www.nycopendata.com

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  • Statisticians bring integrity to the processes and data that fuel innovation and have real impact on our world.
  • Nyc open data meetup wasserstein presentation

    1. 1. Data Sciences and Statistics What is the intersection? Ron Wasserstein, Executive Director American Statistical Association
    2. 2. Data Science Statistics
    3. 3. Data Science Statistics
    4. 4. Data Science Statistics
    5. 5. Statistics Data Science
    6. 6. Data Science Statistics
    7. 7. Statistics
    8. 8. Statistics
    9. 9. Fire up your mobile devices • #ronwnyc • ron@amstat.org • Vocal cords
    10. 10. Feedback request #1 • In a short phrase, like the way someone might describe their work (firefighter, lawyer, bank teller, secretary, etc.), please describe the work that you do. ron@amstat.org #ronwnyc
    11. 11. Feedback request #2 • What is your formal job title? ron@amstat.org #ronwnyc
    12. 12. Now imagine we had 100,000,000 of these responses • WWADSD? • WWASD?
    13. 13. Talent Analytics Brief: Four Functional Clusters of Analytics Professionals • Pasha Roberts, Greta Roberts • July 2013 • http://www.talentanalytics.com/wpcontent/uploads/2014/01/TA_AP_ResearchBrief.pdf • Drop me a note and I’ll send you this URL ron@amstat.org #ronwnyc
    14. 14. Four functional clusters of analytics professionals • • • • Data Preparation Analysts Analytics Programmers Analytics Managers Analytics Generalists
    15. 15. Feedback request #3 • Without waiting for the descriptions of these things, which one best describes how you view yourself currently? (“None” is also an option) – Data Preparation Analysts – Analytics Programmers – Analytics Managers – Analytics Generalists ron@amstat.org #ronwnyc
    16. 16. Feedback request #4 • Does this set of clusters adequately describe the data science world, in your experience? Why or why not? – Data Preparation Analysts – Analytics Programmers – Analytics Managers – Analytics Generalists ron@amstat.org #ronwnyc
    17. 17. Clustering data scientists • • • • Data developer Data researcher Data creative Data businessperson ron@amstat.org #ronwnyc
    18. 18. Feedback request #5 • Without waiting for the descriptions of these things, which one best describes how you view yourself? (“None” is also an option) – Data developer – Data researcher – Data creative – Data businessperson ron@amstat.org #ronwnyc
    19. 19. Feedback request #6 • Does this set of clusters adequately describe the data science world, in your experience? Why or why not? – Data developer – Data researcher – Data creative – Data businessperson ron@amstat.org #ronwnyc
    20. 20. http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
    21. 21. Tomasz Tunguz (Redpoint) Which of the Five Types of Data Science Does Your Startup Need? • • • • • Quantitative, exploratory data scientists Operational data scientists Product data scientists Marketing data scientists Research data scientists • http://www.linkedin.com/today/post/article/201 31002174328-4444200-which-of-the-five-typesof-data-science-does-your-startup-need ron@amstat.org #ronwnyc
    22. 22. Sean Owens blog (Cloudera) today • those practicing “investigative analytics” and • those implementing “operational analytics.” • blog.cloudera.com/blog/2014/03/whyapache-spark-is-a-crossover-hit-for-datascientists ron@amstat.org #ronwnyc
    23. 23. Shaped for success • • • • I-shaped “dash” shaped T-shaped Π-shaped (or even “comb-shaped”) ron@amstat.org #ronwnyc
    24. 24. Feedback request #7 • What is the one skill you’ve most needed that you did NOT learn in school? ron@amstat.org #ronwnyc
    25. 25. What are people hiring data scientists saying?
    26. 26. Can you get to the middle?
    27. 27. ©American Statistical Association 2014 Statisticians bring integrity to the processes and data that fuel innovation and have real impact on our world.
    28. 28. Final feedback • What else can you tell me that will help the statistics community better understand the data science community? ron@amstat.org #ronwnyc

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