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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


  • U

    University of London

    Bachelor of Science in Computer Science

    Skills you'll gain: Virtual Reality, Natural Language Processing, Model Evaluation, Governance Risk Management and Compliance, Unit Testing, Server Side, Theoretical Computer Science, Mobile Development, Operating Systems, Human Computer Interaction, Game Design, Computer Graphics, Technical Communication, Graph Theory, Django (Web Framework), Database Design, Requirements Elicitation, Computational Thinking, Internet Of Things, Artificial Intelligence

    Degree · 1 - 4 Years

  • U

    University of Colorado Boulder

    Master of Science in Computer Science

    Skills you'll gain: Prompt Engineering, New Product Development, Sustainability Reporting, Model Based Systems Engineering, Model Evaluation, Generative AI, Agile Project Management, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Sampling (Statistics), Failure Analysis, Data Ethics, Goal Setting, Database Design, Data Visualization

    Degree · 1 - 4 Years

  • B

    BITS Pilani

    Bachelor of Science in Computer Science

    Skills you'll gain: Human Computer Interaction, Relational Databases, Android Development, Cryptographic Protocols, Probability & Statistics, Object Oriented Design, TCP/IP, Agile Software Development, Graph Theory, Bash (Scripting Language), Theoretical Computer Science, Operating Systems, Natural Language Processing, Version Control, Cybersecurity, Amazon Web Services, Exploratory Data Analysis, Algorithms, Data Mining, Restful API

    Degree · 1 - 4 Years

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  • H

    Heriot-Watt University

    MSc Computer Science

    Skills you'll gain: Database Systems, Responsible AI, Database Management, Software Engineering, Software Design, Combinatorics, Requirements Analysis, Object Oriented Design, Database Software, Database Development, Software Architecture, Unsupervised Learning, Database Architecture and Administration, Database Application, Graph Theory, Statistical Methods, Artificial Intelligence, Project Scoping, Data Structures, Computer Science

    Degree · 1 - 4 Years

  • B

    Ball State University

    Master of Science in Computer Science

    Skills you'll gain: Data Ethics, Responsible AI, Software Engineering, Full-Stack Web Development, Graph Theory, Data Wrangling, Statistical Machine Learning, File Systems, Database Systems, Spatial Analysis, Exploratory Data Analysis, Object Oriented Programming (OOP), Theoretical Computer Science, SAS (Software), Statistical Methods, Cryptography, Statistical Inference, Artificial Intelligence, Text Mining, Financial Data

    Degree · 1 - 4 Years

  • What brings you to Coursera today?

  • I

    IIT Guwahati

    Bachelor of Science in Data Science & AI

    Skills you'll gain: Relational Databases, Package and Software Management, Generative AI, Data Visualization, Time Series Analysis and Forecasting, Linear Algebra, C (Programming Language), Java Programming, Cloud Computing, Data Structures, R (Software), Data Warehousing, Database Management, Social Network Analysis, Econometrics, File I/O, Probability, Bayesian Network, English Language, Algorithms

    Degree · 1 - 4 Years

  • U

    University of London

    International Foundation Programme for Computer Science (IFP)

    Skills you'll gain: NumPy, Statistical Hypothesis Testing, Descriptive Statistics, Data Storytelling, Research Design, Exploratory Data Analysis, Relational Databases, Research Methodologies, Data Presentation, Research, Probability & Statistics, Object Oriented Design, Pandas (Python Package), Statistics, Probability Distribution, Logical Reasoning, Calculus, General Mathematics, Trigonometry, Deductive Reasoning

    Degree · 1 - 4 Years

  • U

    University of Illinois at Urbana-Champaign

    Master of Computer Science

    Degree · 1 - 4 Years

  • U

    University of London

    Bachelor of Science in Business Administration

    Skills you'll gain: Descriptive Statistics, Surveys, Business Ethics, Online Advertising, Integrated Marketing Communications, Research, Consumer Behaviour, Advertising, Digital Advertising, Management Accounting, Financial Analysis, Databases, Labor Relations, Quality Management, Human Relations Movement, Cultural Diversity, Stress Management, Business Management, International Finance, Business Economics

    Degree · 1 - 4 Years

  • U

    University of London

    Bachelor of Science in Marketing

    Skills you'll gain: Descriptive Statistics, Surveys, Business Ethics, Online Advertising, Integrated Marketing Communications, Research, Consumer Behaviour, Advertising, Digital Advertising, Management Accounting, Financial Analysis, Databases, Labor Relations, Quality Management, Human Relations Movement, Cultural Diversity, Stress Management, Business Management, International Finance, Business Economics

    Degree · 1 - 4 Years

  • O

    O.P. Jindal Global University

    MBA Business Analytics

    Skills you'll gain: Design Thinking, Data Visualization, Operations Management, Active Listening, Environmental Social And Corporate Governance (ESG), Working Capital, Sampling (Statistics), Business Strategy, Business Analytics, Supervised Learning, Database Management, Advanced Analytics, PySpark, Project Management, Capital Budgeting, Brand Management, Human Resources Management and Planning, Financial Accounting, Business Economics, Predictive Analytics

    Degree · 1 - 4 Years

123

Best Computer Science courses from University of London

Top-rated Computer Science courses offered by University of London on Coursera.

  1. 1
    Bachelor of Science in Computer Science
    University of London1 - 4 YearsUniversity of London
  2. 2
    International Foundation Programme for Computer Science (IFP)
    University of London1 - 4 YearsUniversity of London
  3. 3
    Bachelor of Science in Business Administration
    University of London1 - 4 YearsUniversity of London

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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