COVID-19 : Les séries temporelles avec Python et Pandas

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In this Guided Project, you will:

Comprendre les séries temporelles

Manipuler les séries temporelles avec Pandas

Visualiser les séries temporelles avec Matplotlib

70
Intermediate
No download needed
Split-screen video
French
Desktop only

Dans ce projet guidé, vous manipulerez des séries temporelles avec Python et Pandas. Une série temporelle est une suite de valeurs numériques représentant l'évolution d'une quantité spécifique au cours du temps. Les données du COVID-19 en sont un parfait exemple que nous allons explorer dans ce projet guidé. La grande majorité des données que nous exploitons sont des séries temporelles. Savoir les manipuler efficacement est un prérequis obligatoire pour tous professionnel des données. (Data Scientist, Data Analyst, Data Engineer, Ingénieur Big Data, etc) Vous expérimentez plusieurs techniques pour indexer, filtrer, agréger, échantillonner et afficher des séries temporelles en python

Skills you will develop

  • Data Analysis

  • Pandas

  • Visualisation des données

  • Programmation Python

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction aux Séries Temporelles

  2. Importation et Exploration des données COVID-19

  3. Extraction des données d’un pays

  4. Filtrage des Séries Temporelles

  5. Échantillonnages et Agrégations

  6. Comparaison des Séries Temporelles

  7. Généralisation et visualisation

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In a split-screen video, your instructor guides you step-by-step

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