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Computer Science Courses

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

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Find the best Computer Science course for your goals

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Program Development, Computer Graphics, Web Design and Development, Cybersecurity, Computer Programming, Problem Management, Computational Thinking, General Mathematics, Systems Of Measurement, 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 Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    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, Computational Thinking, Computer Science, Algorithms, Animations, Simulations, Debugging

    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 California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Science

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Data Visualization, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Peer Review, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Generative AI, Professional Networking, Data Import/Export

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    147K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Computer Graphics, Computational Thinking, General Mathematics, Systems Of Measurement, Algebra, Cryptography

    4.2
    Rating, 4.2 out of 5 stars
    ·
    253 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Theoretical Computer Science, Computer Science

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

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Problem Solving, Analytical Skills, Computer Science, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Debugging

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Toronto

    Learn to Program: The Fundamentals

    Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Data Structures, File Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming Fundamentals

    Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Leeds

    An Introduction to Logic for Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence, Cryptography, Graph Theory

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), C and C++, Object Oriented Programming (OOP), Software Design Patterns, Code Review, Data Structures, Computer Programming, Algorithms, Command-Line Interface, Data-oriented programming, Programming Principles, Graph Theory, Computer Science, Computational Thinking, Artificial Intelligence, Integrated Development Environments, Software Technical Review, Game Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.5K reviews

    Beginner · Specialization · 3 - 6 Months

Computer Science learners also search

computer engineering
advanced computer science
theoretical computer science
computer programming
computational science
beginner computer science
information science
computer science projects
1234…384

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

  • Introduction to Computer Science and Programming: University of London
  • Python for Data Science, AI & Development: IBM
  • Computer Science: Programming with a Purpose: Princeton University
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • IBM Data Science: IBM
  • Mathematics for Computer Science: University of London
  • Fundamentals of Computing: Rice University
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Learn to Program: The Fundamentals: University of Toronto
  • Programming Fundamentals: Duke University

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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