Learn the Julia programming language through hands-on tutorials covering databases, statistics, data manipulation, and linear algebra. Explore JuliaDB for selections, reductions, grouping, and joining tables. Import CSV files, perform gradient descent, and utilize Julia's Statistics Package. Dive into medical statistics, create plots with VegaLite, and set up Julia environments. Master complex numbers, Euclidean vector spaces, matrices, and linear systems using elementary row operations. Implement ordinary least squares, QR decomposition, bootstrap resampling, and hypothesis testing. Set up a development environment with Jupyter, Pluto notebooks, and VS Code to enhance your Julia programming skills.