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Cours en Data Science

Les cours en data science peuvent vous aider à comprendre comment analyser des données, créer des modèles et évaluer leurs performances. Vous pouvez développer des compétences en statistique, apprentissage automatique, préparation des données et visualisation. De nombreux cours utilisent des langages et bibliothèques courants pour travailler sur des projets pratiques.

Cours et certificats populaires en Data Science


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    Google Cloud

    ML Pipelines on Google Cloud - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Continuous Deployment, Model Deployment, AI Orchestration, Model Training, Metadata Management, Model Evaluation, Data Validation

    Advanced · Course · 1 - 3 Months

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

    Skills you'll gain: Tensorflow, Model Deployment, Data Pipelines, Keras (Neural Network Library), Google Cloud Platform, Model Training, Data Preprocessing, Cloud Deployment, Data Processing, Embeddings, Deep Learning, Model Optimization, Applied Machine Learning, Data Transformation, Artificial Neural Networks, AI Workflows

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, Development Testing, Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming, Software Design

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    ML Pipelines on Google Cloud - 日本語版

    Skills you'll gain: Google Cloud Platform, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Continuous Deployment, Model Deployment, Model Training, Metadata Management, AI Orchestration, PyTorch (Machine Learning Library)

    Advanced · Course · 1 - 3 Months

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    Board Infinity

    Deep Learning: Train Neural Networks and Deploy with Docker

    Skills you'll gain: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), MLOps (Machine Learning Operations), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Network Architecture, Configuration Management, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Model Training, Data Preprocessing, Deep Learning, Artificial Neural Networks, Cloud Deployment, Data Pipelines, Data Processing, Applied Machine Learning, AI Workflows, Data Transformation

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Build & Optimize TensorFlow ML Workflows

    Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Application Deployment, Data Pipelines, Performance Tuning, Data Preprocessing, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Encoder-Decoder Architecture - Bahasa Indonesia

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Training, Generative Model Architectures, Generative AI, Natural Language Processing, Machine Learning Methods

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    Production Machine Learning Systems - Français

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Model Evaluation, Systems Architecture, Model Optimization, Data Validation, Distributed Computing, Performance Tuning, Data Pipelines

    Advanced · Course · 1 - 3 Months

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    Coursera

    Career Development for Multimodal Intelligence

    Skills you'll gain: Multimodal Prompts, Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Encoder-Decoder Architecture - בעברית

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Generative Model Architectures, Machine Learning Methods, Applied Machine Learning, Model Training, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning in the Enterprise - 日本語版

    Skills you'll gain: Data Preprocessing, MLOps (Machine Learning Operations), Workflow Management, AI Workflows, Data Governance, Data Management, Model Deployment, Model Training, Enterprise Modeling, Data Store, Google Cloud Platform, Model Optimization, Data Processing, AI Orchestration, Model Evaluation, Applied Machine Learning, Tensorflow, Data Pipelines

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular data science courses

  • ML Pipelines on Google Cloud - Français: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
  • Apply Test-Driven ML Code: Coursera
  • ML Pipelines on Google Cloud - 日本語版: Google Cloud
  • Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
  • Build & Optimize TensorFlow ML Workflows: Coursera
  • Encoder-Decoder Architecture - Bahasa Indonesia: Google Cloud
  • Production Machine Learning Systems - Français: Google Cloud
  • Career Development for Multimodal Intelligence: Coursera

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