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Introduction to data analysis using python
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.
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Introduction to data analysis using python
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- 2. HELLO! I am GuidoPercú You can find me at @oumguido
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- 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 tomanipulate and analyze data.
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- 10. Place your screenshothere 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 canfind me at @oumguido & guidopercu.com.br