Introduction to data analysis using python

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This document introduces data analysis using Python. It discusses the importance of data for science and problem solving. It then lists common Python tools for data analysis like Jupyter Notebook, Matplotlib, NumPy, and Pandas. The document states it will demonstrate how to manipulate and analyze data through examples. It concludes by thanking the reader and providing contact information to ask additional questions.

Technology

INTRODUCTION
TO DATA
ANALYSIS USING
PYTHON

HELLO!
I am Guido Percú
You can find me at @oumguido

“Data! Data! Data!” he cried
impatiently. “I can’t make
bricks without clay!” –
Sherlock Holmes

TOOLS
▸ jupyter notebook
▸ matplotlib
▸ numpy
▸ pandas
▸ statsmodels

DATA ANALYSIS
How to manipulate and analyze data.

Place your screenshot here
LEARNING
So many fantastic
things to learn!

CREDITS
▸ http://nbviewer.ipython.org/url/norvig.com/ipython/Probability.ipynb?
▸ https://github.com/rouseguy/intro2stats
▸ https://www.coursera.org/course/bigdatabrasil
▸ https://speakerdeck.com/jakevdp/statistics-for-hackers
▸ https://speakerdeck.com/ivolima/manipulando-dados-abertos-com-ipython-
notebook-e-pandas

THANKS!
Any questions?
You can find me at @oumguido & guidopercu.com.br

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