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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 London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, General Networking, Javascript, Network Security, Computer Networking, Application Security, Computational Thinking, Program Development, Applied Mathematics, JavaScript Frameworks, Computer Programming, General Mathematics, Numerical Analysis, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Programming with a Purpose

    Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Design, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Code Reusability, Other Programming Languages, Java Programming, Java, Program Development, Computational Thinking, Computer Science, Algorithms, Theoretical Computer Science, Animations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Theoretical Computer Science, Probability, Video Game Development, Bioinformatics, Interactive Design, Animation and Game Design, Python Programming, Data Analysis, Program Development, Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Computer Systems, Algorithms, Computer Programming, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    775 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, General Mathematics, Numerical Analysis, Mathematical Modeling, Algebra, Cryptography, Logical Reasoning, Geometry, Deductive Reasoning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    282 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Discrete Mathematical Tools for Computer Science

    Skills you'll gain: Probability, Computational Logic, Combinatorics, Bayesian Statistics, Algorithms, Theoretical Computer Science, Mathematical Software, Mathematical Theory & Analysis, Cryptography, Logical Reasoning, Deductive Reasoning, Computational Thinking, Computer Science, Encryption, Data Structures, Arithmetic, General Mathematics, Public Key Cryptography Standards (PKCS), Problem Solving, Cybersecurity

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • 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, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Computational Thinking, Combinatorics, Data Science, Computer Science, Mathematical Modeling, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    966 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Essential Mathematics for Computer Science

    Skills you'll gain: Computational Logic, Algorithms, Arithmetic, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Geometry, Statistics, General Mathematics, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Problem Solving

    Build toward a degree

    3.4
    Rating, 3.4 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 3 - 6 Months

  • H

    Heriot-Watt University

    MSc Computer Science

    Skills you'll gain: Database Systems, Database Management, Database Software, Artificial Intelligence, Graph Theory, Software Engineering, Database Development, Java Programming, Requirements Analysis, Artificial Intelligence and Machine Learning (AI/ML), NoSQL, Computational Logic, Software Design, Java, Software Development, Software Design Documents, Data Structures, Algorithms, Computer Science, Software Technical Review

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Foundations of Computer Science

    Skills you'll gain: System Programming, Visual Basic (Programming Language), System Software, Hardware Architecture, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Automation, Cloud Computing, Artificial Intelligence, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    115 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Network Routing, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability & Statistics, Probability, Design Strategies, Computer Science, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Logic and Reasoning for Computing

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Theoretical Computer Science, Programming Principles, Computer Science, Critical Thinking, Business Logic, Algorithms, Verification And Validation, Algebra, Mathematical Modeling, Problem Solving, Strategic Communication

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Computer Science and Programming: University of London
  • Computer Science: Programming with a Purpose: Princeton University
  • Fundamentals of Computing: Rice University
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Mathematics for Computer Science: University of London
  • Discrete Mathematical Tools for Computer Science: The Hong Kong University of Science and Technology
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • Essential Mathematics for Computer Science: University of London
  • MSc Computer Science: Heriot-Watt University
  • Foundations of Computer Science: LearnQuest

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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