Dive into a comprehensive 3-hour workshop on using Julia for statistics, tailored for data scientists and statisticians with experience in languages like R. Learn to leverage Julia's capabilities through a practical, application-focused approach, covering topics such as basic probability, Monte Carlo simulations, statistical packages, data visualization, and linear modeling. Explore key Julia packages including StatsBase, StatsPlots, Distributions, DataFrames, and GLM while working with code snippets and live examples. Gain insights into Julia's unique features like multiple dispatch and broadcasting, and discover how to integrate R functionality using RCall. Perfect for those seeking to transition to Julia for statistical analysis and data science applications.
Statistics with Julia from the Ground Up - JuliaCon 2021 Workshop
The Julia Programming Language via YouTube
Overview
Syllabus
Welcome!.
Housekeeping and Installation Instructions.
Starting a Notebook.
Related Resources.
TOC and Workshop Setup.
Interlude for Questions.
Using the REPL.
Interlude for Questions.
Why Julia?.
Ways to Run Julia - Pluto, IDE....
Key Resources.
Interlude for Questions.
What Do You mean? with Multiple Dispatch.
Interlude for Questions.
What Do You mean? with Broadcasting and Data Structures.
Interlude for Questions.
Something rand - The Monty Hall Problem.
Interlude for Questions.
Do You Still Miss R? So Just RCall.
Some Plots.
Interlude for Questions.
Examples - Union Types, Basic Inference....
Conclusion and Final Questions.
Outro Music.
Taught by
The Julia Programming Language
