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Maîtrise des Aperçus de Données: Techniques d’Analyse de Données Propulsées par Python
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Les fondamentaux de Python pour la science des données.
Manipulation et nettoyage de grands ensembles de données avec Pandas.
Visualisation des données pour des insights intuitifs.
Application des techniques d'analyse statistique et de machine learning.
Création de rapports percutants pour partager vos découvertes.
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Digital Advertising & Marketing 101: Take The Complete Guide
How do consumers see your brand relative to your competitors? …
What you'll learn
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.
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