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Ryan Orban
Co-Founder & CEO
ryan@zipfianacademy.com
@ryanorban
Why are we talking about data science?
Data Analyst Shortage
Source: http://www.delphianalytics.net/wp-content/uploads/2013/04/GrowthOfDataVsDataAnalysts.png
What is data science?
Perfect Storm
Technology
Source: http://www.jcmit.com/diskprice.htm
0
1000
2000
3000
4000
1992 1997 2002 2007 2012
Capacity (GB) Cost pe...
Unprecedented Data Growth
Enter the Data Scientist
What is Data Science?
+ Communication
What do people look for in a data
scientist?
Broad-range generalist
Deepexpertise
T-Shaped Skillset
T-Shaped Skillset
Machine Learning,
Statistics, Domain Knowledge
Softw
are
EngineeringBusiness
Acum
en
Distributed
Com
put...
Data Science Roles
How to I become a data scientist?
Data scientists need to know
how to code.
Python R Julia
Java C++/GoScala/Clojure
High-level
Lower-level
Learn to Code
Learn to Code
Data scientists need to be
comfortable with mathematics
& statistics.
Mathematics Statistical Analysis
Mathematics & Statistics
Distributions (Binomial,
Poisson, etc.)
Summary Statistics
(Mean...
Mathematics & Statistics
Data scientists need know
machine learning & software
engineering.
Distributed
Computing
Supervised
(SVM, Random Forest)
NLP / Information
Retrieval
Algorithms & Data
Structures
Data Visual...
Open-Source Data Science Masters
SlideRule
DataTau
Learning data science can be
really hard.
≠ Data Science
Learning data science can be
really hard.
Context is King
It’s about putting the
pieces together
Pathways:
MS/PhD in Data Science
Internship
Immersive Programs
Self-study
You don’t need a PhD to do
data science.
Backgrounds
Educational Background
BS
MS
PhD
0 4 8 12 16
Backgrounds
Disciplines
Software Engineering
Analysts
Finance/Economics
Engineering
Physics
Physical Sciences
Mathematics
...
Backgrounds
94% Placement Rate91% Placement
$115k avg. salary
The Program
• 12-week immersive bootcamp in San Francisco
• Project-based curriculum with real datasets,
solving actual pr...
Timeline
STRUCTURED CURRICULUM
HIRING 	

DAY
CAPSTONE	

PROJECT
GRADUATION
1 8 11 12
INTERVIEW	

PREP
Program Timeline
Learning Techniques
Hiring Partners
!
• Working knowledge of programming
• Background in a quantitative
discipline
• Comfortable with mathematics and
statisti...
Zipfian
Academy
Data Science
Immersive
Data Fellowship
Data Engineering
Immersive
Weekend
Workshops
Zipfian
Academy
@ZipfianAcademy
Data Science Immersive
12-weeks (Sep 8th)
Weekend Workshops
http://zipfianacademy.com/apply
h...
The best way to learn data
science is by doing data
science.
https://github.com/ipython/ipython/wiki/A-gallery-of-
interesting-IPython-Notebooks
Checklist:
Learn the fundamentals
Build out a project portfolio
Apply!
Blog about your experience
A Practical Intro to Data Science
http://bit.ly/learndatascience
Thank You!
Ryan Orban
Co-Founder
ryan@zipfianacademy.com
@ryanorban
How to Become a Data Scientist
How to Become a Data Scientist
How to Become a Data Scientist
How to Become a Data Scientist
How to Become a Data Scientist
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How to Become a Data Scientist Slide 1 How to Become a Data Scientist Slide 2 How to Become a Data Scientist Slide 3 How to Become a Data Scientist Slide 4 How to Become a Data Scientist Slide 5 How to Become a Data Scientist Slide 6 How to Become a Data Scientist Slide 7 How to Become a Data Scientist Slide 8 How to Become a Data Scientist Slide 9 How to Become a Data Scientist Slide 10 How to Become a Data Scientist Slide 11 How to Become a Data Scientist Slide 12 How to Become a Data Scientist Slide 13 How to Become a Data Scientist Slide 14 How to Become a Data Scientist Slide 15 How to Become a Data Scientist Slide 16 How to Become a Data Scientist Slide 17 How to Become a Data Scientist Slide 18 How to Become a Data Scientist Slide 19 How to Become a Data Scientist Slide 20 How to Become a Data Scientist Slide 21 How to Become a Data Scientist Slide 22 How to Become a Data Scientist Slide 23 How to Become a Data Scientist Slide 24 How to Become a Data Scientist Slide 25 How to Become a Data Scientist Slide 26 How to Become a Data Scientist Slide 27 How to Become a Data Scientist Slide 28 How to Become a Data Scientist Slide 29 How to Become a Data Scientist Slide 30 How to Become a Data Scientist Slide 31 How to Become a Data Scientist Slide 32 How to Become a Data Scientist Slide 33 How to Become a Data Scientist Slide 34 How to Become a Data Scientist Slide 35 How to Become a Data Scientist Slide 36 How to Become a Data Scientist Slide 37 How to Become a Data Scientist Slide 38 How to Become a Data Scientist Slide 39 How to Become a Data Scientist Slide 40 How to Become a Data Scientist Slide 41 How to Become a Data Scientist Slide 42 How to Become a Data Scientist Slide 43 How to Become a Data Scientist Slide 44 How to Become a Data Scientist Slide 45 How to Become a Data Scientist Slide 46 How to Become a Data Scientist Slide 47 How to Become a Data Scientist Slide 48 How to Become a Data Scientist Slide 49 How to Become a Data Scientist Slide 50 How to Become a Data Scientist Slide 51 How to Become a Data Scientist Slide 52
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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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How to Become a Data Scientist

  1. 1. Ryan Orban Co-Founder & CEO ryan@zipfianacademy.com @ryanorban
  2. 2. Why are we talking about data science?
  3. 3. Data Analyst Shortage Source: http://www.delphianalytics.net/wp-content/uploads/2013/04/GrowthOfDataVsDataAnalysts.png
  4. 4. What is data science?
  5. 5. Perfect Storm
  6. 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. 7. Unprecedented Data Growth
  8. 8. Enter the Data Scientist
  9. 9. What is Data Science? + Communication
  10. 10. What do people look for in a data scientist?
  11. 11. Broad-range generalist Deepexpertise T-Shaped Skillset
  12. 12. T-Shaped Skillset Machine Learning, Statistics, Domain Knowledge Softw are EngineeringBusiness Acum en Distributed Com puting Com m unication
  13. 13. Data Science Roles
  14. 14. How to I become a data scientist?
  15. 15. Data scientists need to know how to code.
  16. 16. Python R Julia Java C++/GoScala/Clojure High-level Lower-level Learn to Code
  17. 17. Learn to Code
  18. 18. Data scientists need to be comfortable with mathematics & statistics.
  19. 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. 20. Mathematics & Statistics
  21. 21. Data scientists need know machine learning & software engineering.
  22. 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. 23. Open-Source Data Science Masters
  24. 24. SlideRule
  25. 25. DataTau
  26. 26. Learning data science can be really hard.
  27. 27. ≠ Data Science
  28. 28. Learning data science can be really hard.
  29. 29. Context is King
  30. 30. It’s about putting the pieces together
  31. 31. Pathways: MS/PhD in Data Science Internship Immersive Programs Self-study
  32. 32. You don’t need a PhD to do data science.
  33. 33. Backgrounds Educational Background BS MS PhD 0 4 8 12 16
  34. 34. Backgrounds Disciplines Software Engineering Analysts Finance/Economics Engineering Physics Physical Sciences Mathematics Statistics Astronomy Linguistics Professional Poker 0 2 4 6 8
  35. 35. Backgrounds 94% Placement Rate91% Placement $115k avg. salary
  36. 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. 37. Timeline STRUCTURED CURRICULUM HIRING DAY CAPSTONE PROJECT GRADUATION 1 8 11 12 INTERVIEW PREP Program Timeline
  38. 38. Learning Techniques
  39. 39. Hiring Partners
  40. 40. ! • Working knowledge of programming • Background in a quantitative discipline • Comfortable with mathematics and statistics • Child-like curiosity What We Look For
  41. 41. Zipfian Academy Data Science Immersive Data Fellowship Data Engineering Immersive Weekend Workshops
  42. 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. 43. The best way to learn data science is by doing data science.
  44. 44. https://github.com/ipython/ipython/wiki/A-gallery-of- interesting-IPython-Notebooks
  45. 45. Checklist: Learn the fundamentals Build out a project portfolio Apply! Blog about your experience
  46. 46. A Practical Intro to Data Science http://bit.ly/learndatascience
  47. 47. Thank You! Ryan Orban Co-Founder ryan@zipfianacademy.com @ryanorban
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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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