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Cours en Informatique

Les cours en informatique peuvent vous aider à comprendre les algorithmes, les systèmes informatiques, les données et les principaux concepts liés au développement logiciel. Vous pouvez développer des compétences en raisonnement logique, modélisation, architecture et analyse. De nombreux cours utilisent des exemples concrets pour illustrer les principes fondamentaux.

Cours et certificats populaires en Informatique


  • U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Machine Learning Methods, Supervised Learning, Classification Algorithms, Decision Tree Learning, Data Science, Machine Learning Algorithms, Data Analysis, Machine Learning, Correlation Analysis, Bayesian Network, Algorithms, Artificial Neural Networks, Model Evaluation

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    72 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Social Sciences, Sociology, Socioeconomics, Game Theory, Behavioral Economics, Mathematical Modeling, Statistical Modeling, Bayesian Statistics, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    759 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of London

    Geometry and Calculus for Computing

    Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Plot (Graphics), Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives

    Beginner · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Game Development: HTML to Unreal Engine Mastery

    Skills you'll gain: Unreal Engine, Game Design, Video Game Development, Animation and Game Design, Hypertext Markup Language (HTML), HTML and CSS

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • T

    The University of Tokyo

    Welcome to Game Theory

    Skills you'll gain: Game Theory, Political Sciences

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Deep Learning for Natural Language Processing

    Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, LLM Application, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning, Generative AI, Artificial Intelligence

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Communication Systems, Telecommunications, Algorithms, Linear Algebra, Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    646 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Scrimba

    Data Structures and Algorithms: Binary Search

    Skills you'll gain: Computational Thinking, Algorithms, Program Development, Theoretical Computer Science, Software Development, Software Engineering, Programming Principles, Data Structures, Computer Programming, Javascript, Computer Science, Web Development

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • J

    JetBrains

    AI-Assisted Programming

    Skills you'll gain: Application Development, Application Deployment, Generative AI Agents, Large Language Modeling, Software Development Tools, LLM Application, AI literacy, IntelliJ IDEA, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Integrated Development Environments, Agentic systems, Code Review, Software Development, Software Development Life Cycle

    3.3
    Rating, 3.3 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Modern Regression Analysis in R

    Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Statistical Programming, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Correlation Analysis, Model Evaluation, Plot (Graphics)

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

1…232425…834

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

  • Data Mining Methods: University of Colorado Boulder
  • Social and Economic Networks: Models and Analysis: Stanford University
  • Geometry and Calculus for Computing: University of London
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Game Development: HTML to Unreal Engine Mastery: Coursera
  • Welcome to Game Theory: The University of Tokyo
  • Deep Learning for Natural Language Processing: University of Colorado Boulder
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Data Structures and Algorithms: Binary Search: Scrimba
  • Probabilistic Graphical Models 3: Learning: Stanford University

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