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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


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Data Science, Mathematical Modeling, Advanced Mathematics, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    922 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Regression Analysis, Data Presentation, Feature Engineering, Statistical Hypothesis Testing, Sampling (Statistics), Data Ethics, Logistic Regression, Model Evaluation, Data Visualization Software, Data Analysis, Statistical Analysis, Tableau Software, Object Oriented Programming (OOP), Data Science, Machine Learning, Interviewing Skills, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Graph Theory, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Architecture

    Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Advanced · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    High-Performance and Parallel Computing

    Skills you'll gain: Hardware Architecture, Bash (Scripting Language), Distributed Computing, Scalability, Computer Systems, File I/O, Big Data, Operating Systems, File Systems, Scripting, Command-Line Interface, C and C++, Performance Tuning, Computer Programming Tools, Linux, Load Balancing, Programming Principles, Communication Systems, Linear Algebra

    3.8
    Rating, 3.8 out of 5 stars
    ·
    171 reviews

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    Build a Full Website using WordPress

    Skills you'll gain: WordPress, Content Management Systems, Web Content, Web Design and Development, Web Design, Web Development, Blogs, Social Media, Content Management, Marketing, Design, Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.3K reviews

    Advanced · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Mobile Development, Anthropic Claude, Data Ethics, LLM Application, Apple iOS, AI Product Strategy, Machine Learning Methods, Software Development, Application Design, Cloud Development, Data Strategy, Artificial Intelligence and Machine Learning (AI/ML), Application Security, DevSecOps, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    787 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Data Validation, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Image Analysis, Debugging, PyTorch (Machine Learning Library), Computer Vision, Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Applied Machine Learning, Performance Tuning, Deep Learning, Digital Signal Processing

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming

    Advanced · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, Natural Language Processing, Debugging, Containerization, Kubernetes, Transfer Learning, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Applied Machine Learning, PyTorch (Machine Learning Library), Vision Transformer (ViT), Tensorflow, Cloud Computing, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Security & Ethical Hacking: Attacking Web and AI Systems

    Skills you'll gain: AI Security, Open Web Application Security Project (OWASP), Cyber Security Assessment, Exploitation techniques, Server Side, Application Security, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Scanning, Secure Coding, Artificial Intelligence, Responsible AI, Data Security, Cyber Attacks, Security Awareness, Generative AI, Large Language Modeling, Data Ethics, Authentications

    Build toward a degree

    Advanced · Course · 1 - 4 Weeks

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

  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • Google Advanced Data Analytics: Google
  • Self-Driving Cars: University of Toronto
  • Computer Architecture: Princeton University
  • High-Performance and Parallel Computing: University of Colorado Boulder
  • Build a Full Website using WordPress: Coursera
  • Generative AI for Mobile App Developers: IBM
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Vision & Audio AI Systems: Coursera
  • AI Engineer Professional: Packt

Frequently Asked Questions about Computer Science

Computer science is the study of computers and computational systems. It encompasses a wide range of topics, including algorithms, programming, data structures, and the theoretical foundations of information processing. The importance of computer science lies in its ability to drive innovation and efficiency across various industries. As technology continues to evolve, understanding computer science becomes crucial for solving complex problems, automating tasks, and creating new technologies that can enhance our daily lives.‎

A degree in computer science can open doors to numerous career opportunities. Common job roles include software developer, data analyst, systems analyst, and network administrator. Additionally, specialized positions such as machine learning engineer, cybersecurity analyst, and web developer are in high demand. The versatility of computer science allows professionals to work in various sectors, including finance, healthcare, education, and entertainment, making it a valuable field for those looking to build a rewarding career.‎

To succeed in computer science, you'll need a mix of technical and soft skills. Key technical skills include programming languages (such as Python, Java, or C++), understanding algorithms and data structures, and familiarity with databases and web development. Additionally, problem-solving skills, analytical thinking, and attention to detail are essential. Soft skills like communication and teamwork are also important, as many projects require collaboration with others.‎

There are many excellent online courses available for those interested in computer science. Some notable options include the Introduction to Computer Science and Programming Specialization and the Accelerated Computer Science Fundamentals Specialization. These courses provide foundational knowledge and practical skills that can help you start your journey in computer science.‎

Yes. You can start learning computer science on Coursera for free in two ways:

  1. Preview the first module of many computer science courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in computer science, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn computer science, start by identifying your interests and goals. You can begin with foundational courses that cover programming basics and algorithms. Utilize online platforms like Coursera to find structured courses that fit your learning style. Engage in hands-on projects to apply what you learn, and consider joining online communities or study groups for support and motivation.‎

Computer science courses typically cover a variety of topics, including programming languages, algorithms, data structures, software engineering, and computer architecture. Advanced courses may explore areas like artificial intelligence, machine learning, and cybersecurity. This breadth of topics ensures that learners gain a comprehensive understanding of the field and its applications.‎

For training and upskilling employees, courses like the Foundations of Computer Science and Computer Science: Programming with a Purpose are excellent choices. These courses provide essential skills that can enhance productivity and innovation within the workforce, making them valuable for organizations looking to invest in their employees' development.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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