Training: Data science with Julia

High performance, flexibility and user friendliness: This is what the Julia programming language stands for. Julia succeeds in doing this by combining the advantages of other dynamic and static languages such as C, Matlab, Java, Python and R.

A particularly strong theme of Julia: Data science. Julia is suited perfectly for the development of performant AI and machine learning algorithms.

In our Julia training course, we teach you the central elements and the successful use of Julia in data science.

Our Julia training

Introduction to data science with Julia

The ideal introduction to your work with Julia. As data science specialists, we will not only familiarize you with the general basics of the language, but also teach you the relevant properties and features for data analysis using practical examples and exercises.

With this introductory course we put you in a position to implement data management as well as basic analyses and visualizations with Julia.

The course contents:

  • Getting started with Julia
    • Installation
    • Overview of IDEs
  • Philosophy and basic concept of Julia
  • Data structures and their properties
  • Data management with Julia
  • Grinding and control elements in Julia
  • Explorative analyses with Julia
      • Introduction to Gadfly.jl
      • Visualization with Plots.jl
  • Optional for R and Python users:
      • Integration of R and Python libraries in Julia
        • ggplot2
        • pandas

 

Recommendend course length: Two days

This training is offered as an in-house training by us. However, it can also be individually adapted to your requirements and supplemented with components such as the package development in Julia.  On request, the training can also be held in English. We will be happy to make you an offer for your Julia training.

 


Our data science portfolio



Your contact: Katharina Lohberger

Contact us
ansprechpartnerin-data-science-trainings