dannyb2018 / julia-workshop

Julia workshop for Data Science

Julia workshop for Data Science

This repository contains the notes of the Julia workshop taught at the WID Data Science Research Bazaar on February 10th, 2021.

In preparation for the course

• Read the syllabus below and checkout the resources in the "In preparation" column
• Download julia in your computer
• Clone this repo:

git clone https://github.com/crsl4/julia-workshop.git

Syllabus

Session	Time	Topics	Relevant files	At the end of the session
1	30 min	Getting started in Julia	Session 0 notes and Session 1 notes	You will have everything set up to do Data Science in Julia
2	30 min	Description of data tools		You will understand the main features of data storing and manipulation
3	30 min	Model fitting		You will learn the main functions to run LMM in Julia
4	15 min	Brief illustration of other Data Science tools	Session 4 notes	You will learn about the communication between Julia and R/python, the package system and tuning performance
5	15 min	Conclusions and questions	Session 5 notes

Want to learn more?

Checkout the great resources in Julia learning.

Previous versions of workshops

• The folder 2day-workshop (and "CIMAT workshop" release) contains the notes of the Julia workshop taught at CIMAT in October 26-27, 2020