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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.


More to explore:

Cours et certificats populaires en Data Science


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    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

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    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Data Presentation, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analytics, Statistical Methods, Analytical Skills, Data Science, Exploratory Data Analysis, Project Design, Predictive Modeling, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Portfolio Management

    4.8
    Rating, 4.8 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

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    EDUCBA

    Learn & Build Machine Learning Models with Python

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    ML Model Training & Validation

    Skills you'll gain: Systems Design, Transfer Learning, MLOps (Machine Learning Operations), Deep Learning, Model Evaluation, Data Preprocessing, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Pipelines, Predictive Modeling, Software Engineering, Supervised Learning, Python Programming, Debugging, Performance Metric, Data Quality, Data Validation, Git (Version Control System), Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

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    Rice University

    An Introduction to Interactive Programming in Python (Part 1)

    Skills you'll gain: Event-Driven Programming, Application Development, Interactive Design, Animations, Programming Principles, Computer Graphics, Python Programming, Game Design, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 3 Months

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    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Apply AI Foundations with Python and AWS

    Skills you'll gain: Matplotlib, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), NumPy, Pandas (Python Package), Model Evaluation, AI Workflows, Data Preprocessing, Deep Learning, Responsible AI, AWS SageMaker, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Manipulation, Data Ethics, Applied Machine Learning, Data-Driven Decision-Making, Python Programming, AWS CloudFormation

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Vector Databases, Embeddings, Semantic Web, Database Theory, Database Design, Databases, NoSQL, Decision Making, Relational Databases, Data-Driven Decision-Making, Data Architecture, Stakeholder Communications, Business Analysis, Stakeholder Management, Persuasive Communication, Communication, Machine Learning Methods, Python Programming, System Design and Implementation

    Intermediate · Specialization · 3 - 6 Months

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    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Data Quality, Data Transformation, Data Cleansing, Model Deployment, Applied Machine Learning, Failure Analysis, Data Pipelines, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

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

  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Google Advanced Data Analytics Capstone: Google
  • Learn & Build Machine Learning Models with Python: EDUCBA
  • ML Model Training & Validation: Coursera
  • An Introduction to Interactive Programming in Python (Part 1): Rice University
  • Apply Test-Driven ML Code: Coursera
  • Apply AI Foundations with Python and AWS: EDUCBA
  • Vector DB Foundations, Embeddings & Search Algorithms: Coursera
  • AI Engineer Associate: Packt
  • ML Production Systems: Coursera

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