Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
MIT License
Prepared by @nassarhuda. Last updated: June 2021. Julia version used: 1.6.1
Accompanying videos are available at JuliaAcademy.
There are three main components in this tutorial.
What we don't cover:
Every data science task has one main ingredient, the data! Most likely, you want to use your data to learn something new. But before the new part, what about the data you already have? This is why our first section is on Data.
In the first part we will make sure you can
Next, we will explore some of the most popular methods and tools used in Data Science to process this data.
In this section, we hope to give you (the data scientist) all the tools you need to use Julia as a programming language for your data science tasks. This includes
And finally, we will go over a few visualizations that will hopefully reveal a few tips and tricks to generate good looking and informative visualizations.
Note that the methods section will show several kinds of plots too. But here, we will cover plotting tools that we didn't get to in the Methods section. This includes