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.