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Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Summary

In this chapter, we started with an introduction to SciPy. We then had a brief overview of the various subpackages that are available to us. We learned how to perform a chi-square test for independence using the scipy.stats package. We used this package to perform other calculations, such as confidence intervals, probability calculations, and other types of statistical tests.

In the next chapter, we will introduce predictive analytics models, machine learning, the scikit-learn library, and more. Stay tuned!

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