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R, Python and Julia: do you know them all? - 2025


 

 R, Python and Julia: 
do you know them all?

Course Leader

Christian Kauth 

Target Group

Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development.

Entry Qualifications

Sound command of English. Participants should be able to make short interventions and to actively participate in discussions

Objective(s)

This course will enable you to pick your next top data-science programming language

  • Know the characteristics of R, Python, Julia
  • Understand the advantages of each language for different use-cases
  • Ability read and modify a small program in each language
Contents

The scope of the course is to have a general overview of the languages and to show main advantages.

The course should cover:

Installing/where to find the software (resources, etc)

Installing modules/libraries

Basic programming

Fetching data from Eurostat API

Basic data analysis and visualization tools

Ideally, the same use case could be done in the different languages.

Expected Outcome

It is not expected that the audience will learn to develop with Python, R, and Julia at the end of the course but have a global idea about the technologies and understand the main differences.

Training MethodsThe course is split in 3 modules of 2h each, each one focusing on a different technology for data science: Python, R and Julia.


 

Required Reading 

None

Suggested ReadingNone
Required Preparation
Trainer(s)/
Lecturer(s)
Christian Kauth (Independent expert)

 

 

 

Practical Information

When

Duration

Where

Organiser

Application  via National Contact Point

24, 26, 28.02.2025

(14h – 16h)

3 sessions, 2h each

ONLINE

ICON-INSTITUT Public Sector GmbH

Deadline: 06.01.2025