Accueil › Formations › Introduction to R (English session) stage sur 2 jours
Identification de la formation
Code de formation: 
2025-11341
Domaine - Formacode: 
information scientifique et technique

This course provides a first introduction of R for students and scholars across all disciplines.

R is the leading, free software language and environment for statistical computing and graphics. A lecture talk introduces the basic concepts of R. Hands-on exercises exemplify theoretical explanations and provide familiarity with R.

- 1 Introduction
- 2 First steps
- 3 Base R
- 3.1 Data types
- 3.2 Data structures
- 3.3 Functions
- 3.4 Control structures
- 3.5 Short note on efficiency

- 4 Tidyverse

Contenus pédagogiques
Objectifs: 
The aim of the course is to put you in the position to start analysing data using R. Every student exits the course with a first script that reads in data, performs some basic statistical analysis, and saves/outputs the results. Thank you for using your own laptop. We will work with the basic installation of R (from http://cran.r-project.org) and the interface RStudio (from http://rstudio.com, desktop version). Pre-installation of R and RStudio on your laptop is not necessary but will save time. Please note that this session is face-to-face, not online.
Public visé: 
tout public
Résultats attendus de la formation: 
The aim of the course is to put you in the position to start analysing data using R. Every student exits the course with a first script that reads in data, performs some basic statistical analysis, and saves/outputs the results. Thank you for using your own laptop. We will work with the basic installation of R (from http://cran.r-project.org) and the interface RStudio (from http://rstudio.com, desktop version). Pre-installation of R and RStudio on your laptop is not necessary but will save time. Please note that this session is face-to-face, not online.
Modalités d'alternance: 
pas d'alternance
Conditions spécifiques: 
No prior knowledge of R or any other programming language is required. Basic knowledge of statistics is assumed.
Déroulement du stage
Modalités d'enseignement: 
Formation entièrement présentielle
Lieu (Coordonnées): 
URFIST de Strasbourg (Université de Strasbourg, 47 avenue de la Forêt- 67082 STRASBOURG Cedex)
Durée (heures): 
12 heures
Période de formation: 
Je, 29/01/2026 - Ve, 30/01/2026
Inscription
Période d`inscription: 
Je, 29/01/2026 - Di, 11/01/2026
Prise en charge des frais de formation possible: 
Oui
Contact de l'action de formation: 

URFIST de Strasbourg (Université de Strasbourg, 47 avenue de la Forêt- 67082 STRASBOURG Cedex)

Nom: 
URFIST de Strasbourg
Adresse: 
Université de Strasbourg, 47 avenue de la Forêt-
Code postal: 
67082
Ville: 
STRASBOURG Cedex
Téléphone fixe: 
03 68 85 08 00
Web: 
http://urfist.u-strasbg.fr/
Région: 
Alsace
Contact avec l'organisme: 
URFIST de Strasbourg (Université de Strasbourg, 47 avenue de la Forêt- 67082 STRASBOURG Cedex)
Organisme formateur: 
URFIST de Strasbourg
Organisme de formation: 
URFIST de Strasbourg
Domaine - NSF: 
325
Domaine - Rome: 
32214
Niveau à l'entrée en formation: 
Information non communiquée
Niveau à l'entrée en formation obligatoire: 
Non
Formation certifiante: 
Non
Rythme de la formation: 
Temps plein
Modalités d'entrée sortie: 
Entrées / sorties à dates fixes
Langue utilisée lors de la formation: 
Français