Data Science | Development
- Created by Packt Publishing
- 5.5 hours
- Beginner Level
Use the advanced features of Julia to work with complex data
- 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
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