• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Degrees
​
Log In
Join for Free
  • Browse
  • Computer Science

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


  • S

    Stanford University

    Algorithms

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

    ★ 4.8 (6K) · Intermediate · Specialization · 3 - 6 Months

  • 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 (304) · Advanced · Course · 1 - 3 Months

  • S

    Stanford University

    Cryptography I

    Skills you'll gain: Cryptography, Data Encryption Standard, Cryptographic Protocols, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Application Security, Authentications, Data Integrity, Algorithms, Arithmetic, Probability

    ★ 4.8 (4.5K) · Mixed · Course · 1 - 3 Months

  • D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms

    ★ 4.9 (39K) · Beginner · Specialization · 1 - 3 Months

    Category: Top AI Program
    Top AI Program
  • S

    Stanford University

    AI in Healthcare

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Medical Records, Machine Learning Methods, Unstructured Data, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Health Care, Responsible AI, Machine Learning, Artificial Intelligence

    ★ 4.7 (2.5K) · Beginner · Specialization · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • S

    Stanford University

    Food Sustainability, Mindful Eating, and Healthy Cooking

    Skills you'll gain: Food and Beverage, Cooking, Sustainable Development, Nutrition and Diet, Cultural Diversity, Meal Planning And Preparation, Sustainable Systems, Environment, Nutrition Education, Sustainability Standards, Compassion, Sustainable Technologies, Environmental Issue, Resourcefulness, Mindfulness, Climate Change Mitigation, Waste Minimization, Adaptability, Environmental Science, Habit Formation

    ★ 4.8 (611) · Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • S

    Stanford University

    Stanford Introduction to Food and Health

    Skills you'll gain: Cooking, Nutrition Education, Meal Planning And Preparation, Health Promotion, Health Education, Food and Beverage, Nutrition and Diet, Public Health, Behavior Management, Social Studies, Habit Formation, Cultural Diversity, Health Informatics, Chronic Diseases

    ★ 4.7 (34K) · Beginner · Course · 1 - 3 Months

  • S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Analysis, Statistical Machine Learning, Statistical Visualization, Data Collection, Probability Distribution, Correlation Analysis

    ★ 4.6 (4.3K) · Beginner · Course · 1 - 3 Months

  • S

    Stanford University

    Building Decarbonization and the Clean Energy Transition

    Skills you'll gain: Sustainable Architecture, HVAC, Building Design, Climate Change Mitigation, Sustainable Technologies, Sustainable Engineering, Commercial Construction, Environmental Issue, Waste Minimization, Sustainable Development, Energy and Utilities, Environmental Social And Corporate Governance (ESG), Environmental Regulations, Architectural Design, Corporate Sustainability, Electric Power Systems, Value Engineering, Facility Operations

    Intermediate · Course · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization

    ★ 4.6 (1.5K) · Advanced · Specialization · 3 - 6 Months

  • S

    Stanford University

    Child Nutrition and Cooking

    Skills you'll gain: Nutrition Education, Cooking, Meal Planning And Preparation, Nutrition and Diet, Nutrition Counseling, Pediatrics, Food and Beverage, Working With Children, Food Quality Assurance And Control, Environmental Issue, Decision Making

    ★ 4.8 (10K) · Beginner · Course · 1 - 3 Months

  • S

    Stanford University

    Introduction to Food and Our Environment

    Skills you'll gain: Food and Beverage, Sustainable Development, Nutrition and Diet, Sustainable Systems, Environment, Nutrition Education, Sustainability Standards, Sustainable Technologies, Environmental Issue, Climate Change Mitigation, Waste Minimization, Environmental Science, Emerging Technologies, Innovation

    ★ 4.8 (178) · Beginner · Course · 1 - 4 Weeks

123

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

  • Algorithms: Stanford University
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Cryptography I: Stanford University
  • Machine Learning: DeepLearning.AI
  • AI in Healthcare: Stanford University
  • Food Sustainability, Mindful Eating, and Healthy Cooking: Stanford University
  • Stanford Introduction to Food and Health: Stanford University
  • Introduction to Statistics: Stanford University
  • Building Decarbonization and the Clean Energy Transition: Stanford University
  • Probabilistic Graphical Models: Stanford 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.

Other topics to explore

Arts and Humanities
338 courses
Business
1095 courses
Computer Science
668 courses
Data Science
425 courses
Information Technology
145 courses
Health
471 courses
Math and Logic
70 courses
Personal Development
137 courses
Physical Science and Engineering
413 courses
Social Sciences
401 courses
Language Learning
150 courses

Coursera Footer

Skills

  • Accounting
  • Artificial Intelligence (AI)
  • Cybersecurity
  • Data Analytics
  • Digital Marketing
  • Human Resources (HR)
  • Microsoft Excel
  • Project Management
  • Python
  • SQL

Professional Certificates

  • Google AI Certificate
  • Google Cybersecurity Certificate
  • Google Data Analytics Certificate
  • Google IT Support Certificate
  • Google Project Management Certificate
  • Google UX Design Certificate
  • IBM AI Engineering Certificate
  • IBM AI Product Manager Certificate
  • IBM Data Science Certificate
  • Intuit Academy Bookkeeping Certificate

Courses & Specializations

  • AI Essentials Specialization
  • AI For Business Specialization
  • AI For Everyone Course
  • AI in Healthcare Specialization
  • Deep Learning Specialization
  • Excel Skills for Business Specialization
  • Financial Markets Course
  • Machine Learning Specialization
  • Prompt Engineering for ChatGPT Course
  • Python for Everybody Specialization

Career Resources

  • Career Aptitude Test
  • CAPM Certification Requirements
  • CompTIA A+ Certification Requirements
  • CompTIA Security+ Certification Requirements
  • Essential IT Certifications
  • High-Income Skills to Learn
  • How to Learn Artificial Intelligence
  • PMP Certification Requirements
  • Popular Cybersecurity Certifications
  • Share your Coursera learning story

Coursera

  • About
  • What We Offer
  • Leadership
  • Careers
  • Catalog
  • Coursera Plus
  • Professional Certificates
  • MasterTrack® Certificates
  • Degrees
  • For Enterprise
  • For Government
  • For Campus
  • Become a Partner
  • Social Impact
  • Free Courses
  • Udemy

Community

  • Learners
  • Partners
  • Beta Testers
  • Blog
  • The Coursera Podcast
  • Tech Blog

More

  • Press
  • Investors
  • Terms
  • Privacy
  • Help
  • Accessibility
  • Contact
  • Articles
  • Directory
  • Affiliates
  • Modern Slavery Statement
  • Do Not Sell/Share
Learn Anywhere
Download on the App Store
Get it on Google Play
Logo of Certified B Corporation
© 2026 Coursera Inc. All rights reserved.
  • Coursera Facebook
  • Coursera Linkedin
  • Coursera Twitter
  • Coursera YouTube
  • Coursera Instagram
  • Coursera TikTok