Statistical Methods

Statistical Methods

This draft is a guide in progress into Statistical Methods

There is a difference between doing data science and knowing data science. This is an attempt to bridge that gap. Within these pages are a collection of resources to both understand and put into context mathematical concepts used in data science.

How to use this guide

This guide assumes basic knowledge in R programming which is commonly used in statistical computing or courses on the same. Should you lack this, I recommend the guide R for Data Science.

It is recommended that you follow this guide as is written unless:

1. You are familiar with the preceding topics and want to target one in particular

2. Specified within the documentation(as is so in [Simple Linear Regression](#Simple Linear Regression))