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Cours Introduction à R : Partie I - Apprentissage en Ligne avec Certificat
Introduction à R : Partie I

Introduction à R : Partie I

R est l'un des langages de programmation les plus populaires parmi les analystes de données et les data scientists. R dispose d'une large communauté qui vous aidera toujours avec n'importe quel problème. De plus, R possède des tonnes de différents packages conçus pour résoudre divers problèmes. Le langage peut être facilement appliqué aux problèmes de statistiques et d'analyse de données. Dans la première partie, vous serez introduit aux bases de R et vous traiterez des valeurs 1-D uniques de différents types.Show more

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Outcomes
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Codefinity advantages
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What you will learn
  • Comprendre la syntaxe de base de R et les opérations pour gérer les données efficacement.
  • Devenir compétent avec les vecteurs, maîtrisant leur création, leur nommage et leur indexation pour la manipulation des données.
  • Comprendre les facteurs pour la gestion des données catégorielles, y compris l'indexation et la synthèse.
  • Appliquer des opérations sur les vecteurs et les facteurs pour résumer les notes et les intervalles.
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There are 6 modules in this course

R est l'un des langages de programmation les plus populaires parmi les analystes de données et les data scientists. R dispose d'une large communauté qui vous aidera toujours avec n'importe quel problème. De plus, R possède des tonnes de différents packages conçus pour résoudre divers problèmes. Le langage peut être facilement appliqué aux problèmes de statistiques et d'analyse de données. Dans la première partie, vous serez introduit aux bases de R et vous traiterez des valeurs 1-D uniques de différents types.
Dans la section initiale, vous plongerez dans les éléments fondamentaux de R, tels que la génération de sortie et l'exécution d'opérations élémentaires. Cette section se terminera par une exploration de la théorie derrière les variables.
Vous vous familiariserez avec la classe de vecteurs en R, qui gère également les valeurs individuelles. Ici, vous explorerez les principaux types de données pour les valeurs singulières et apprendrez à gérer plusieurs valeurs du même type simultanément.
Les facteurs, également connus sous le nom de variables catégorielles, sont courants dans le monde réel. Les exemples incluent les groupes sanguins, les devises, les nationalités et les marques. Contrairement aux variables numériques, les facteurs ont un ensemble limité de valeurs possibles.

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Reviewed on Aug 26, 2024

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Reviewed on Jul 10, 2024

The lessons are very straightforward and presented in a way to build a solid foundation of knowledge. As with any lesson, more examples and more practice is always welcome.

Recommended if you're interested in learning R

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