Software Choice

Teaching statistics involves teaching statistical software. There are currently two major option in the free software community: R and/or Python.

Don’t choose, learn both !!

Why is R so great ?

A few years ago, I would have said that the best statistical software to my opinion (and the opinion of thousands of other) is of course combined with a nice IDE like

• Because it’s reasonnably easy
• Because most new statistical methods are available on R
• Because of active R communnity: many open-source online help and many examples

Here are some of my last discoveries or my favorite ones

About R and RStudio:

• YaRrr! The Pirate’s Guide to R
• Getting started with R

Some are even in French - Prise en main de R et RStudio

About RMarkdown

• Introduction to R Markdown
• RMarkdown for Scientists
• R Markdown: The Definitive Guide

R and data science

• R for Data Science

Some inspiring plots

• ggplot graph gallery

Because I’m not so stubborn I acknwoledge that Python is a great option for conducting statistical analysis especially in a statistical learning context.

Why is Python also great ?

• Because it’s reasonnably easy
• Because most new statistical methods are available on Python
• Because of Jupyter Notebooks

Developping with Python

• A nice Python editor PyCharm
• Using notebook The Jupyter Project

Python and data science

• Python for Data Science
• A gentle Python introduction to Deep Learning