What skills can I learn in computer science courses on Coursera?

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

Do I need prior experience in computer science to start these courses?

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.

What computer science certifications and credentials are available?

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.

What career opportunities are available with skills in computer science?

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

Top Computer Science Courses - Learn Computer Science Online

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Computer Science

Computer Science Courses

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

Find the best Computer Science course for your goals

Status: Free Trial
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
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
Princeton University
Computer Science: Algorithms, Theory, and Machines
Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware
4.7
Rating, 4.7 out of 5 stars
737 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
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
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: Free Trial
University of California, Santa Cruz
Coding for Everyone: C and C++
Skills you'll gain: C++ (Programming Language), Debugging, C (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, 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

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Explore topics outside of work

Status: Free Trial
University of Colorado Boulder
Foundations of Data Structures and Algorithms
Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computational Thinking, Computer Programming, Programming Principles, Cryptography, Computer Science, Pseudocode, Applied Mathematics, Advanced Mathematics, Mathematical Theory & Analysis, Tree Maps, Encryption, Combinatorics, Python Programming, Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
877 reviews
Advanced · Specialization · 3 - 6 Months
Status: Free Trial
University of California, Santa Cruz
C for Everyone: Programming Fundamentals
Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms
4.5
Rating, 4.5 out of 5 stars
6.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
LearnQuest
Foundations of Computer Science
Skills you'll gain: Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Automation, Analysis, Cloud Computing, Debugging
4.6
Rating, 4.6 out of 5 stars
112 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of California San Diego
Mathematical Thinking in Computer Science
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Python Programming, Computer Science, Program Development
4.4
Rating, 4.4 out of 5 stars
2.3K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of California, Santa Cruz
C, Go, and C++: A Comprehensive Introduction to Programming
Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, C and C++, Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, Code Review, Computer Programming, Unit Testing, Command-Line Interface, Data-oriented programming, Programming Principles, Integrated Development Environments, Algorithms, Graph Theory, Computer Science, File Systems
4.5
Rating, 4.5 out of 5 stars
9.5K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Packt
Data Structures and Algorithms: The Complete Masterclass
Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging
4.5
Rating, 4.5 out of 5 stars
33 reviews
Intermediate · 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

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
Computer Science: Algorithms, Theory, and Machines: Princeton University
Fundamentals of Computing: Rice University
Computational Thinking for Problem Solving: University of Pennsylvania
Coding for Everyone: C and C++: University of California, Santa Cruz
Foundations of Data Structures and Algorithms: University of Colorado Boulder
C for Everyone: Programming Fundamentals: University of California, Santa Cruz
Foundations of Computer Science: LearnQuest
Mathematical Thinking in Computer Science: University of California San Diego

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.‎

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.