Techniques Avancées dans Pandas
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- Comprendre les techniques d'indexation et de sélection efficaces pour la manipulation des données.
- Devenir compétent en extraction conditionnelle de données et en application de conditions sur les ensembles de données.
- Acquérir une expertise dans l'agrégation des données, la gestion des opérations de groupe et l'interaction avec des méthodes de regroupement complexes.
- Acquérir une maîtrise du prétraitement des données, de la gestion des tableaux croisés dynamiques et de la gestion des valeurs manquantes.
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There are 6 modules in this course
Ce cours contient de nombreuses fonctions utiles pour un futur analyste de données. Vous apprendrez différentes manières d'extraire des données et même de définir des conditions sur celles-ci. Après cela, vous serez familier avec les méthodes de regroupement des données. De plus, vous apprendrez à prétraiter les données. Chaque section a son propre ensemble de données, de sorte que le cours sera captivant.- Vérification des Valeurs ManquantesPreview
- Calcul du Nombre de Valeurs ManquantesPreview
- Que Ferons-Nous Avec les Valeurs NaN?Preview
- Comment Supprimer Uniquement les Valeurs NaN ?Preview
- Remplir les Valeurs ManquantesPreview
- Gestion des Variables CatégoriellesPreview
- Vérification du Type de ColonnePreview
- Gestion d'une Colonne IncorrectePreview
- Renommer la ColonnePreview
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