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Statistical Analysis with Matplotlib

This course demonstrates how Python and Matplotlib are used to work on different statistical distributions. Standard charts like histograms, boxplots, and violinplots are used to display statistical distributions.

Intermediate
52m
(2)

Created by Martin Burger

Last Updated Feb 03, 2023

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  • Course

Statistical Analysis with Matplotlib

This course demonstrates how Python and Matplotlib are used to work on different statistical distributions. Standard charts like histograms, boxplots, and violinplots are used to display statistical distributions.

Intermediate
52m
(2)

Created by Martin Burger

Last Updated Feb 03, 2023

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What you'll learn

The package Matplotlib in Python is a popular package for data visualization. In this course, Statistical Analysis with Matplotlib, you'll learn how to use this package to demonstrate the concept of statistical distributions. First, you'll learn about probabilities within the values of a variable and how to identify the underlying statistical distribution. Next, you'll discover the theoretical background of statistical distributions, and how to generate a desired distribution with a random number generator. Finally, you'll understand what the general implications of the findings are.

When you’re finished with this course, you’ll have the skills and knowledge of visually identifying a distribution and how to generate pre-defined distributions.

Statistical Analysis with Matplotlib
Intermediate
52m
(2)
Table of contents

About the author
Martin Burger - Pluralsight course - Statistical Analysis with Matplotlib
Martin Burger
18 courses 4.6 author rating 181 ratings

Martin is a trained biostatistician, programmer, consultant and data science enthusiast. His main objective: Explaining data science in a straightforward way. You can find his latest work over at: r-tutorials.com

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