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.

1. INTRODUCTION
TO DATA
ANALYSIS USING
PYTHON

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

3. 1.
Data?
Big? Science?
Open?

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

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

6. DATA ANALYSIS
How to manipulate and analyze data.

7. EXAMPLE

8. EXAMPLE

9. EXAMPLE

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

11. 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

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