The document discusses data science and its associated concepts including big data, its volume, speed, and variety. It highlights essential tools such as csvkit, IPython, SciPy, Pandas, Matplotlib, and Scikit-learn for data analysis. The author encourages thinking big but starting small in data science endeavors.

1. R u P y N a t a l 2 0 1 4
DATA SCIENCE E PYTHON
Ricardo Wendell
rwendell@thoughtworks.com

2. Fonte: https://www.flickr.com/photos/melinamanfrinatti/8391988575 2

3. Fonte: http://socialtimes.com/one-minute-internet-infographic_b147855 3

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BIG DATA

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BIG DATA
V V V

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VOLUME

7. 2.5 QUVOINLUTMILEHÕES
DE BYTES GERADOS POR DIA!
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VELOCIDADE

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VARIEDADE

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DATA SCIENCE

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12. Fonte: http://www.shoesofprey.com/blog/pic/ahFzfnNob2Vzb2ZwcmV5LWhyZHIWCxINQmxvZ0ltYWdlRGF0YRiWxuoJDA.jpg 12

13. Fonte: http://ecx.images-amazon.com/images/I/81D5CBkXL6L._SL1500_.jpg 13

14. Fonte: http://www.portalgildabonfim.com.br/site/wp-content/uploads/2014/02/beneficios-da-castanha-do-para-na-barra-de-cereal.png 14

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DATA SCIENTIST

17. Fonte: https://www.flickr.com/photos/marsdd/2986989396 17

18. Fonte: http://www.forbes.com/sites/danwoods/2014/08/28/why-you-should-hire-a-robot-to-write-for-you/ 18

19. O S E M N
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20. O S E M N
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21. AGILE ANALYTICS
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22. Fonte: http://nirvacana.com/thoughts/becoming-a-data-scientist/ 22

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CSVKIT (https://csvkit.readthedocs.org)

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IPython (http://ipython.org)

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SciPy (http://www.scipy.org)

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pandas (http://pandas.pydata.org)

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matplotlib (http://matplotlib.org)

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scikit-learn (http://scikit-learn.org)

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E AGORA?

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PENSE GRANDE
COMECE PEQUENO

35. OBRIGADO!
Ricardo Wendell
rwendell@thoughtworks.com
slideshare.net/rickwendell