Introduction à l'éthique des données
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Suivez de courtes vidéos animées par des instructeurs experts, puis mettez en pratique ce que vous avez appris avec des exercices interactifs dans votre navigateur.
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En continuant, vous acceptez nos Conditions d'utilisation, notre Politique de confidentialité et le fait que vos données sont stockées aux États-Unis.Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Maîtrisez les tests Python : Apprenez des méthodes, créez des vérifications et assurez-vous dun code sans erreur avec pytest et unittest.
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Dans ce cours, vous utiliserez T-SQL, la variante de SQL utilisée dans le serveur SQL de Microsoft pour lanalyse des données.
Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.
Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.
Maîtrisez les pratiques responsables en matière dIA grâce à ce cours complet, qui propose des études de cas concrètes et un contenu interactif.
Transform almost any dataset into a tidy format to make analysis easier.
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
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Découvrez la science des données pour les managers et les entreprises et comment utiliser les données pour renforcer votre organisation.
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
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Take your R skills up a notch by learning to write efficient, reusable functions.
Learn essential finance math skills with practical Excel exercises and real-world examples.