Learning Statistics with Python

You will learn how to do Statistics with Python. You'll also learn other topics to help you get started such as:

1. Basic Data Analysis using NumPy, Pandas, Matplotlib, Seaborn
2. Basic Linear Algebra for NumPy
3. StatsModels Python Module
4. Practice problems for Statistics and Linear Algebra.

Motivation

Under Construction 🚧 A short description of the motivation behind the creation and maintenance of the project. This should explain why the project exists.

Getting Started

Under Construction 🚧

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

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What things you need to install the software and how to install them

Give examples

How to use?

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If people like your project they’ll want to learn how they can use it. To do so include step by step guide to use your project.

Contribute

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Let people know how they can contribute into your project. A contributing guideline will be a big plus.

Authors

• James C. Wolfe - Initial work - JCWolfe

See also the list of contributors who participated in this project.

Credits

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Give proper credits. This could be a link to any repo which inspired you to build this project, any blogposts or links to people who contrbuted in this project.

Acknowledgments

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• Hat tip to anyone whose code was used
• Inspiration
• etc