Learning Path: Julia: Explore Data Science with Julia

Use the advanced features of Julia to work with complex data

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Learning Path: Julia: Explore Data Science with Julia

Get to grips with the basic data structures in Julia and learn about different development environments

Organize your code by writing Lisp-style macros and using modules

Manage, analyze, and work in depth with statistical datasets using the powerful DataFrames package

Perform statistical computations on data from different sources and visualize those using plotting packages

Apply different algorithms from decision trees and other packages to extract meaningful information from the Iris dataset

Gain some valuable insights into interfacing Julia with an R application

Uncover the concepts of metaprogramming in Julia

Conduct statistical analysis with StatsBase.jl and Distributions.jl