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    Computer Science Courses Online

    Explore computer science courses on programming, algorithms, and system design. Prepare for roles in software engineering and data analysis.

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    Explore the Computer Science Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Debugging, Computer Science, Computer Systems, Arithmetic, Computer Networking, Web Applications, Cybersecurity, Computer Graphics, Visualization (Computer Graphics), Computer Programming, Development Environment, Web Servers, Data Management, Servers, Maintainability, Computational Thinking, Mathematical Theory & Analysis, Javascript, General Mathematics, Problem Solving

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Programming with a Purpose

      Skills you'll gain: Java Programming, Computer Programming, Programming Principles, Java, Object Oriented Programming (OOP), Performance Testing, Algorithms, Computer Science, Data Structures, Computational Thinking, Animations, Debugging, Simulations

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Accelerated Computer Science Fundamentals

      Skills you'll gain: C++ (Programming Language), Data Structures, Debugging, Graph Theory, Engineering Software, Unstructured Data, Object Oriented Programming (OOP), Computer Programming, Development Environment, Data Architecture, Data Storage, Algorithms, Information Architecture, Data Access, Programming Principles, System Design and Implementation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      714 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Combinatorics, Computational Logic, Computational Thinking, Probability, Theoretical Computer Science, Logical Reasoning, Deductive Reasoning, Cryptography, Probability & Statistics, Public Key Cryptography Standards (PKCS), Arithmetic, Algorithms, Mathematical Modeling, Network Analysis, Encryption, Data Structures, Mathematical Theory & Analysis, Operations Research, Computer Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of London

      Bachelor of Science in Computer Science

      Skills you'll gain: Virtual Reality, Supervised Learning, Technical Writing, Human Computer Interaction, React Native, Game Design, Semantic Web, Responsive Web Design, Network Security, Web Development, Artificial Intelligence, Object Oriented Programming (OOP), Git (Version Control System), Matplotlib, Operating Systems, Combinatorics, Natural Language Processing, Database Design, Computer Graphics, Data Structures

      Earn a degree

      Degree · 1 - 4 Years

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Pseudocode, Graph Theory, Programming Principles, Algorithms, Event-Driven Programming, Object Oriented Programming (OOP), Mathematical Modeling, Debugging, Data Structures, Combinatorics, Computer Programming, Software Testing, Animation and Game Design, Bioinformatics, Computer Science, Probability, Interactive Design, Python Programming, Theoretical Computer Science

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Development Environment, Software Design, Software Engineering, Software Development Methodologies, Software Design Patterns, Systems Development, Software Development Tools, Program Development, Software Development, Integrated Development Environments, Application Security, Web Development, Cloud Development, Web Applications, Back-End Web Development, Computer Programming, Front-End Web Development, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Foundations of Computer Science

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Computer Hardware, Pseudocode, Algorithms, Problem Solving, Programming Principles, Computer Programming, Python Programming, Debugging

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

      Beginner · Course · 1 - 4 Weeks

    • B

      BITS Pilani

      Bachelor of Science in Computer Science

      Skills you'll gain: Data Storytelling, Relational Databases, Human Computer Interaction, Database Design, Probability & Statistics, Graph Theory, Operating Systems, Software Architecture, Feature Engineering, Web Development, Game Design, Computational Logic, Linux Commands, Algorithms, Environment, Java Programming, Software Development, Data Structures, NoSQL, Writing

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Algorithms

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

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

      Intermediate · Specialization · 3 - 6 Months

    Searches related to computer science

    Software Engineering
    Information Technology
    Artificial Intelligence
    Machine Learning
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    1234…297

    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
    • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Bachelor of Science in Computer Science: University of London
    • Fundamentals of Computing: Rice University
    • Introduction to Software Engineering: IBM
    • Foundations of Computer Science: LearnQuest
    • Computational Thinking for Problem Solving: University of Pennsylvania

    Frequently Asked Questions about Computer Science

    Computer science courses on Coursera can equip you with a broad set of skills essential for technological careers:

    • Programming fundamentals in languages like Python, Java, and C++
    • Development of algorithms and data structures to solve complex problems
    • Knowledge of computer architecture and systems
    • Software engineering practices, including software development, testing, and maintenance
    • Cybersecurity principles to protect systems and data
    • Understanding of databases and data processing
    • Web development techniques for creating dynamic websites‎

    Computer science courses on Coursera are suitable for all levels:

    • Introductory courses require no prior experience and provide a foundation in the basics of computer science.
    • Intermediate courses are available for those with some foundational knowledge who seek to deepen their understanding.
    • Advanced courses cater to experienced professionals aiming to enhance specific skills or learn about the latest technological advancements.‎

    Coursera provides a range of credentials that demonstrate your expertise in computer science:

    • Professional certificates that help you prepare for industry-recognized certifications.
    • Specialized course certificates that focus on particular areas such as artificial intelligence or network security.
    • Advanced degrees from top universities in fields like computer science and information technology. ‎

    Acquiring skills in computer science through Coursera can lead to a variety of roles in the technology sector:

    • Software Developer, designing and building software solutions
    • Systems Analyst, optimizing and maintaining IT systems
    • Network Administrator, ensuring reliable network operations
    • Data Scientist, analyzing and interpreting complex datasets
    • Cybersecurity Analyst, protecting information systems from cyber threats‎
    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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