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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
    Free
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    Princeton University

    Computer Science: Programming with a Purpose

    Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Program Development, File I/O, Computational Thinking, Computer Science, Algorithms, Animations, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
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    Princeton University

    Computer Science: Algorithms, Theory, and Machines

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    745 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
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    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
    Free
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    Princeton University

    Bitcoin and Cryptocurrency Technologies

    Skills you'll gain: Blockchain, Cryptography, Encryption, Payment Systems, FinTech, Key Management, Application Security, Digital Assets, Network Protocols, Transaction Processing, Data Storage, Distributed Computing, Emerging Technologies, Scripting, Financial Regulation, Market Dynamics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
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    Princeton University

    Food Ethics

    Skills you'll gain: Health Disparities, Food and Beverage, Social Justice, Ethical Standards And Conduct, Nutrition and Diet, Sustainability Standards, International Relations, Environmental Issue, Policy Analysis, Sustainable Development, Cultural Diversity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    89 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part I

    Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free
    Free
    P

    Princeton University

    Imagining Other Earths

    Skills you'll gain: Biology, Life Sciences, Physical Science, Biochemistry, Physics, Environment, General Science and Research, Scientific Methods, Mathematical Modeling, Systems Of Measurement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    405 reviews

    Mixed · Course · 3 - 6 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free
    Free
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    Princeton University

    Algorithms, Part II

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Computational Thinking, Computer Programming, Network Routing, Java Programming, Linear Algebra

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Global Systemic Risk

    Skills you'll gain: Risk Analysis, Analysis, Systems Thinking, World History, International Relations, Social Network Analysis, Financial Systems, Public Health, Governance, Epidemiology, Complex Problem Solving, Economics, Supply Chain

    4.7
    Rating, 4.7 out of 5 stars
    ·
    435 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
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    Princeton University

    Analysis of Algorithms

    Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability, Calculus

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free
    Free
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    Princeton University

    비트코인 및 암호화폐 기술

    Skills you'll gain: Blockchain, Cryptographic Protocols, Cryptography, FinTech, Application Security, Encryption, Payment Systems, Security Engineering, Network Protocols, Key Management, Digital Assets, Data Storage Technologies, Data Storage, Transaction Processing, Distributed Computing, Scripting, Financial Regulation, Market Dynamics

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Analytic Combinatorics

    Skills you'll gain: Combinatorics, Mathematical Theory & Analysis, Advanced Mathematics, Graph Theory, Theoretical Computer Science, Calculus, Probability, Computational Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

Searches related to computer science

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12

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

  • Computer Science: Programming with a Purpose: Princeton University
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Computer Architecture: Princeton University
  • Bitcoin and Cryptocurrency Technologies: Princeton University
  • Food Ethics: Princeton University
  • Algorithms, Part I: Princeton University
  • Imagining Other Earths: Princeton University
  • Algorithms, Part II: Princeton University
  • Global Systemic Risk : Princeton University
  • Analysis of Algorithms: Princeton University

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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