R, Python and Julia: do you know them all? - 2nd edition 2024

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	R, Python, Julia language, environment and tools Use-case specific comparisons (library maturity, community, speed, production) Implementation demo in each language of one same use-case that fetches, analyses and visualizes Eurostat data Demo of machine & deep learning use-case in each language
Expected Outcome	The participants will know the main characteristics of each language and understand their respective advantages. They will know the common tools and are able to read and modify a small provided data-science related code.
Training Methods	Presentations lectures (80%) Exercises (20%)
Required Reading	None
Suggested Reading	None
Required Preparation	Register for free to the Google Colaboratory https://colab.research.google.com/
Trainer(s)/ Lecturer(s)	Christian Kauth (Independent expert)

2nd Edition

Practical Information
When	Duration	Where	Organiser	Application via National Contact Point
16, 18, 20.09.2024	3 sessions, 2h each	ONLINE	ICON-INSTITUT Public Sector GmbH	Deadline: 05.08.2024