Statistics with Python (Under construction)

Jupyter Notebooks for the study of Statistics using Python.

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Table of Contents

1. About The Project
2. Getting Started
   • Prerequisites
   • Installation
3. License
4. Acknowledgements

About The Project

The main objective is to create Jupyter Notebooks to demonstrate a broad range of statistics concepts using the programming language Python.

Descriptive Analysis

There are many ways to analyse data, but one of the most known methods in Statistics is probably descriptive analysis, which seeks to describe or summarize past and present data, helping to create accessible data insights. It's the field of Statistics that deals with the description and summarization of data. It will be given some practical examples of this kind of analysis using a dataset.

Probability theory

Statistical inference

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

Python 3.8 or greater, Jupyter Notebook. There are some libraries you may need to install for importing like matplotlib and etc.

Installation

1. Clone the repo

   git clone https://github.com/brenoslivio/Statistics-Python.git

2. Simply run Jupyter Notebook to open the projects.

License

Distributed under the MIT License. See LICENSE for more information.

Acknowledgements

• ROSS, S. M. Introductory Statistics. 4th Edition. Academic Press. February 2017
• MAGALHÃES, M. N. Noções de Probabilidade e Estatística. 7th edition. Edusp. 2015.