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.

University of California San Diego
Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Advanced Mathematics, Operations Research, Theoretical Computer Science, Network Analysis, Machine Learning Algorithms, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Model Optimization
★ 4.6 (703) · Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Cryptographic Protocols, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Mathematical Software, Advanced Mathematics
★ 4.6 (69) · Advanced · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Computational Thinking, Design Strategies, Cryptographic Protocols, Applied Mathematics, Tree Maps, Encryption, Network Model, Combinatorics, Data Science, Mathematical Software, Computer Science, Python Programming
★ 4.7 (979) · Advanced · Specialization · 3 - 6 Months
Stanford Online
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, Statistical Modeling, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms
★ 4.6 (305) · Advanced · Course · 1 - 3 Months

Princeton University
Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability, Applied Mathematics, Calculus
★ 4.4 (1.1K) · Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Content Management Systems, WordPress, Content Management, Web Presence, Web Content, Web Design, Web Design and Development, Web Development, System Configuration, Design, Marketing, Computer Science
★ 4.4 (4.3K) · Advanced · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Convolutional Neural Networks, Deep Learning, Natural Language Processing, Embeddings, Hugging Face, Computer Vision, Supervised Learning, Classification Algorithms, Data Preprocessing, Predictive Modeling, Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Probability & Statistics, Machine Learning Algorithms
★ 4.4 (2.1K) · Advanced · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Machine Learning, Data Preprocessing, Data Transformation, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis
★ 4.5 (24) · Advanced · Specialization · 3 - 6 Months
Skills you'll gain: Data Modeling, Stakeholder Engagement, Dashboard, Business Intelligence, Tableau Software, Extract, Transform, Load, Data Warehousing, Database Systems, Interactive Data Visualization, Data Visualization, Data Pipelines, Interviewing Skills, Business Process, Business Analysis, Database Design, Data Mart, Applicant Tracking Systems, Data Analysis, SQL, Stakeholder Communications
★ 4.8 (9.5K) · Advanced · Professional Certificate · 3 - 6 Months

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Global Positioning Systems, Hardware Architecture, Systems Architecture, Network Routing, Graph Theory, Estimation, Algorithms, Artificial Intelligence, Mathematical Modeling, Linear Algebra
★ 4.7 (3.6K) · Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Sprint Retrospectives, Scaled Agile Framework, Organizational Change, Backlogs, Team Motivation, Agile Project Management, People Development, Agile Methodology, Change Management, Agile Software Development, Performance Metric, Team Performance Management, Business Transformation, Organizational Development, Agile Product Development, Employee Coaching, Sprint Planning, Coaching, Workflow Management, Continuous Improvement Process
Advanced · Course · 1 - 3 Months

Skills you'll gain: Version Control, Cloud Management, Test Automation, Infrastructure As A Service (IaaS), Cloud Computing, Cloud Infrastructure, Virtual Machines, Development Testing, Test Script Development, Scripting, Network Troubleshooting, Cloud Services, Email Automation, Web Presence, Python Programming, CI/CD, Configuration Management, Program Development, Containerization, Unit Testing
★ 4.8 (56K) · Advanced · Professional Certificate · 3 - 6 Months
High-quality free Computer Science courses you can start today.
Top-rated Computer Science courses offered by University of Colorado Boulder on Coursera.
Earn a certificate in Computer Science from top universities and companies.
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:
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.‎