ALLER AU CONTENU
Le portail de la formation tout au long de la vie
LU
DE
EN
FR
PT

Data science: R basics coding

20 heure(s)

2 x 2 hours per week or duration to agree with the learners

Objectifs

In this course of R-basic coding, you will learn the basic building blocks of R.You will learn to use general programming features like "if-else", and "for loop" commands to write your own functions to perform various operations on datasets.

In practical, you will learn:

  • how to read, extract, and create datasets in R
  • how to perform a variety of operations and analyses on datasets using R
  • how to write your own functions/sub-routines in R

Contenu

Section 1: R Basics, Functions, and Data Types

You will get started with R and learn about R's functions and data types.

Section 2: Vectors and Sorting

You will learn to operate on vectors and advanced functions such as sorting.

Section 3: Indexing, Data Manipulation, and Plots

You will learn to wrangle, analyze and visualize data.

Section 4: Programming Basics

Public cible

A qui s'adresse la formation?

  • Students and Recent Graduates
  • Early- and Mid-Career Professionals
  • Marketing and Project Management Professionals

 
Prérequis

R studio software is recommended but not mandatory to enable programming directly in a software-based interface.

Evaluation

Certificat, diplôme

In order to earn a Certificate of Completion, participants must thoughtfully complete all 4 modules.

Informations supplémentaires

About the Professor

Dr Hichem Omrani (Research Scientist, full ADR / Habilitation-HDR)
Dr. Hichem Omrani is currently a research scientist (R3) at the Luxembourg Institute of Socio-Economic Research (LISER). his research group is hosted at the Urban development and Mobility department. He received his Ph.D. in Computer Science in 2007, from the Technology University of Compiegne (UTC-France). Dr. Omrani is also an Adjunct Associate Professor at the University of Concordia (Canada). He conducts research in the framework of several competitive projects supported mainly by the FNR. His research focuses on data science, applied statistics, machine learning, complex system modelling applied in a wide range of applications (environment, mobility, policy evaluation, and individual exposure to the environments, and public heath). He supervised several master/PhD students, young researchers and act as a reviewer for several international journals. During his lastest scientific leave (2016-2017), he served as Senior Visiting Researcher at Purdue University (USA), working jointly with Dr. Bryan Pijanowski, an internationally recognized specialist in the field of environmental science and soundscape. Dr. Omrani is (co-) author of 45+ scientific articles on peer-reviewed international journals, 100+ papers in conferences proceedings, and 2 book chapters in volumes with ISBN. His publications have been cited, so far, 1500 times (source: Google scholar). My Google scholar H-index is 17 (i10-index: 26). To date, he has attracted around €4.25m in grants mainly from the EU, FNR and industry.

Voir les coordonnées de l'organisme
Partager sur

 



Le contenu de ce descriptif de formation est de la seule responsabilité de son auteur, l'organisme de formation Centre Avicenne Luxembourg.

Imprimer Tout voir/cacher Envoyer à un ami
Voir les coordonnées de l'organisme
Caractéristiques
Niveau Débutant
Organisation Blended learning
Langues de prestation
Utilisation des cookies

lifelong-learning.lu utilise des cookies pour vous offrir une expérience utilisateur de qualité, mesurer l’audience, optimiser les fonctionnalités des réseaux sociaux et vous proposer du contenu personnalisé.

En poursuivant votre navigation sur ce site, vous acceptez l’utilisation de cookies dans les conditions prévues par notre politique en la matière. En savoir plus.

Cookies nécessaires
Ces cookies permettent d'utiliser les principales fonctionnalités de notre site (par exemple l'accès à votre espace réservé). Sans ces cookies, vous ne pourrez pas utiliser notre site normalement.
Statistiques
Ces cookies permettent d'établir des statistiques de fréquentation de notre site. Les désactiver nous empêche de suivre et d'améliorer la qualité de nos services.
Publicité ciblée
Ces cookies permettent de vous proposer sur internet et les réseaux sociaux des informations et des offres de formation qui répondent mieux à vos besoins.

Consulter notre politique d’utilisation des cookies

Accepter tout Paramétrer les cookies
Veuillez patienter...