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Comprendre les séries temporelles
Manipuler les séries temporelles avec Pandas
Visualiser les séries temporelles avec Matplotlib
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
Data Analysis
Pandas
Visualisation des données
Programmation Python
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction aux Séries Temporelles
Importation et Exploration des données COVID-19
Extraction des données d’un pays
Filtrage des Séries Temporelles
Échantillonnages et Agrégations
Comparaison des Séries Temporelles
Généralisation et visualisation
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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