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How to Become a Data Scientist
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How to Become a Data Scientist

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How to Become a Data Scientist …

How to Become a Data Scientist
SF Data Science Meetup, June 30, 2014
Video of this talk is available here: https://www.youtube.com/watch?v=c52IOlnPw08
More information at: http://www.zipfianacademy.com


Zipfian Academy @ Crowdflower

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  • Thanks for the knowledge
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  • Do you have data breakdowns on how well your Immersive Program works?
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  • Really great presentation, you seems to be reading mind of Data Scientist aspirant. Please could you suggest some such training institute in India
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  • This is great but on slide 18, since when is Java considered an Low-level language?
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Transcript

  • 1. Ryan Orban Co-Founder & CEO ryan@zipfianacademy.com @ryanorban
  • 2. Why are we talking about data science?
  • 3. Data Analyst Shortage Source: http://www.delphianalytics.net/wp-content/uploads/2013/04/GrowthOfDataVsDataAnalysts.png
  • 4. What is data science?
  • 5. Perfect Storm
  • 6. Technology Source: http://www.jcmit.com/diskprice.htm 0 1000 2000 3000 4000 1992 1997 2002 2007 2012 Capacity (GB) Cost per GB (USD)
  • 7. Unprecedented Data Growth
  • 8. Enter the Data Scientist
  • 9. What is Data Science? + Communication
  • 10. What do people look for in a data scientist?
  • 11. Broad-range generalist Deepexpertise T-Shaped Skillset
  • 12. T-Shaped Skillset Machine Learning, Statistics, Domain Knowledge Softw are EngineeringBusiness Acum en Distributed Com puting Com m unication
  • 13. Data Science Roles
  • 14. How to I become a data scientist?
  • 15. Data scientists need to know how to code.
  • 16. Python R Julia Java C++/GoScala/Clojure High-level Lower-level Learn to Code
  • 17. Learn to Code
  • 18. Data scientists need to be comfortable with mathematics & statistics.
  • 19. Mathematics Statistical Analysis Mathematics & Statistics Distributions (Binomial, Poisson, etc.) Summary Statistics (Mean, Variance, etc.) Hypothesis Testing Bayesian Analysis Linear Algebra (Matrix Factorization) Calculus (Integrals, Derivatives, etc) Graph Theory Probability/ Combinatorics
  • 20. Mathematics & Statistics
  • 21. Data scientists need know machine learning & software engineering.
  • 22. Distributed Computing Supervised (SVM, Random Forest) NLP / Information Retrieval Algorithms & Data Structures Data Visualization Data Munging Machine Learning & Software Engineering Machine Learning Software Engineering Validation, Model Comparison Unsupervised (K-means, LDA)
  • 23. Open-Source Data Science Masters
  • 24. SlideRule
  • 25. DataTau
  • 26. Learning data science can be really hard.
  • 27. ≠ Data Science
  • 28. Learning data science can be really hard.
  • 29. Context is King
  • 30. It’s about putting the pieces together
  • 31. Pathways: MS/PhD in Data Science Internship Immersive Programs Self-study
  • 32. You don’t need a PhD to do data science.
  • 33. Backgrounds Educational Background BS MS PhD 0 4 8 12 16
  • 34. Backgrounds Disciplines Software Engineering Analysts Finance/Economics Engineering Physics Physical Sciences Mathematics Statistics Astronomy Linguistics Professional Poker 0 2 4 6 8
  • 35. Backgrounds 94% Placement Rate91% Placement $115k avg. salary
  • 36. The Program • 12-week immersive bootcamp in San Francisco • Project-based curriculum with real datasets, solving actual problems • Guest lectures from leaders in the field • Personal mentorship to help students grow
  • 37. Timeline STRUCTURED CURRICULUM HIRING DAY CAPSTONE PROJECT GRADUATION 1 8 11 12 INTERVIEW PREP Program Timeline
  • 38. Learning Techniques
  • 39. Hiring Partners
  • 40. ! • Working knowledge of programming • Background in a quantitative discipline • Comfortable with mathematics and statistics • Child-like curiosity What We Look For
  • 41. Zipfian Academy Data Science Immersive Data Fellowship Data Engineering Immersive Weekend Workshops
  • 42. Zipfian Academy @ZipfianAcademy Data Science Immersive 12-weeks (Sep 8th) Weekend Workshops http://zipfianacademy.com/apply http://zipfianacademy.com/workshops Next: Interactive Visualizations w/ d3.js ( July 19 )
  • 43. The best way to learn data science is by doing data science.
  • 44. https://github.com/ipython/ipython/wiki/A-gallery-of- interesting-IPython-Notebooks
  • 45. Checklist: Learn the fundamentals Build out a project portfolio Apply! Blog about your experience
  • 46. A Practical Intro to Data Science http://bit.ly/learndatascience
  • 47. Thank You! Ryan Orban Co-Founder ryan@zipfianacademy.com @ryanorban