YouTube Julia Courses List

This tutorial series introduces beginners to the Julia programming language. It covers topics such as how to get started, what to know before programming, variables, expressions, data types, functions, and more. It provides a comprehensive overview of the language and its features, helping users become proficient in Julia. View all

This course introduces the Julia computer language, a powerful tool for medical statistical analysis. It covers topics such as distributions, the juliabox notebook, and coding basics. Learners will gain an understanding of how to use Julia to create programs for medical statistical analysis. View all

This course provides an introduction to Julia programming language for machine learning. It covers topics such as installation and running in Jupyter Notebook, Julia basics such as strings and numerical operations, commenting, and Julia for data manipulation and visualization. It also covers machine learning algorithms and their implementation in Julia. View all

JuliaDB is a database for the Julia language. It allows users to make selections, reductions, and groupings to calculate descriptive statistics. It also enables users to join two tables and import csv files. Additionally, it provides a tutorial on gradient descent. View all

This course covers the development of Julia packages, from creating a new package and repository to writing code, tests, and testsets. It also covers setting up CI, branches and PRs, code review, and external dependencies. Participants will gain the skills needed to create and maintain their own Julia packages. View all

This course introduces Markov Decision Processes (MDPs) and Decision Making Under Uncertainty using POMDPs.jl. It covers topics such as MDP definition, Grid World environment, state and action spaces, transition and reward functions, discount factor, QuickPOMDPs, MDP and RL solvers, and a Pluto notebook. Students will gain an understanding of how to use MDPs to make decisions under uncertainty. View all

Data wrangling is the process of transforming raw data into a usable format for analysis. Tom Kwong's course, Data Wrangling Techniques in Julia - Part 1, covers the Julia data ecosystem and the five-step workflow of data wrangling: reading, cleaning, tidying, analyzing, and visualizing. Through this course, participants will gain the skills to effectively wrangle data in Julia. View all

This video, presented by Tom Kwong, is the second part of a series on data wrangling techniques in Julia. It covers two data sets: the Washington state youth suicide data set and the TIPS yield curve and inflation compensation data set. Tom provides helpful tips and techniques for working with these data sets, and encourages viewers to contribute to the accompanying GitHub repo. View all

This tutorial provides an overview of the Julia programming language, version 1.0, for beginners. It covers topics such as data types, control flow, and functions, and is authored by Herriman & Verweij. View all

Julia's Queryverse is a powerful data science stack that provides a comprehensive suite of tools for data analysis and visualization. It is designed to make data science easier and more accessible for everyone. View all

This tutorial provides an introduction to the Julia programming language, covering the basics of syntax and usage. It is designed to help beginners get started with Julia. View all

Julia is a high-level programming language that combines the ease of Python with the speed of Fortran and the flexibility of Lisp. It is an ideal language for data science and scientific computing. View all

Discover the fundamentals of Julia tutorial at MIT View all

Explore the essentials of Julia Programming Tutorial View all

Discover the fundamentals of Introduction to Julia - Part 1 View all

Learn the basics of Julia Tutorials View all

This tutorial provides an introduction to the Julia programming language, covering the basics of syntax and usage. It is designed to help beginners get started quickly. Learn the fundamentals of Julia with this comprehensive tutorial. View all

This tutorial provides an introduction to the Julia programming language, covering topics such as variables, data types, casting, strings, conditionals, looping, arrays, tuples, dictionaries, sets, functions, anonymous functions, math, enums, symbols, structs, and abstract types. It is designed to help users become familiar with the language and its features. View all