Sort:  

Thanks for checking us out! We have 3 different tutorials planned, each with a different goal.

  1. R-Basics Tutorial:
    postimg1.PNGpostimg2.PNG

In this tutorial you first learn the basics of actually programming in R. Learning basic things like doing math in R and using functions. After getting the basics, the tutorial uses data that is never outdated by more than 1 hour in order to work through some examples of data manipulation and visualization exploring cryptocurrency market data from the last 7 days.

2.Tidyverse tutorial:

postimg3.PNG

This tutorial teaches you about a concept that makes programming in R much easier overall called the "tidyverse"

3.Use-Case Tutorial:

This final tutorial will be what really puts it all together and uses all of the concepts explored in the first 2 tutorials, and creates real predictive models and predictions using complex predictive models (R has the same capabilities as Python on this front). This tutorial will be released sometime before the end of the month but is not yet available on the website.

The goal of the tutorials is to learn R, but why learn on data that is 20 years old when you could learn to program while analyzing the cryptocurrency markets instead? This is real data source that has never been used in a large scale capacity for trading, the point of this is not to make you any money, but if you were to notice real meaningful patterns through the things you learn, which is the point of the tutorials, nothing stops you from doing as you wish with that information.

Thank you very much for the detailed answer :)

No problem! As someone who has never heard of R, please let us know if you find anything to be particularly confusing or hard to follow!