11 Best Computer Science Courses Online in 2024 [Free + Paid]

Computer science encompasses the study of computation and its applications. It involves both theoretical and practical approaches to understanding and developing computer systems and software. 

As technology continues to evolve, the importance of computer science has become increasingly apparent in many industries. Fields like artificial intelligence, cybersecurity, data science, software engineering, and web development are just a few examples where computer science plays a crucial role. 

In this article, we will explore the 11 best computer science courses online in 2024. Whether you’re looking for a foundational course to prepare for a computer science degree or want to enhance your existing skills, there is a course for you on our list.

Featured Computer Science Courses [Editor’s Picks]

• [Udemy] Computer Science 101: Master the Theory Behind Programming

• [Coursera] Fundamentals of Computing Specialization

• [FreeCodeCamp] Harvard CS50 Introduction to Computer Science

• [Brilliant.org] Computer Science Fundamentals

Choosing the Best Computer Science Courses Online

To select the best computer science courses online, we used the following three criteria.

1. Creator Credibility: How experienced are they with teaching programming? And what was the ratio of positive student reviews?
2. Content: How comprehensive is the curriculum? How engaging is the style of presentation? Are the topics relevant to real-world challenges for a computer scientist?
3. Community: How many people have taken the course or are currently enrolled? Is it easy to reach out to other students if you get stuck?

The 11 Best Computer Science Online Courses in 2024

1. [Udemy] Computer Science 101: Master the Theory Behind Programming

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Why we chose this course

This online computer science course provides a comprehensive understanding of the core concepts of computer science. It starts by introducing the binary number system, which is essential for understanding how computers store and process information. 

The course then delves into data structures and algorithms, with key concepts like stacks, queues, heaps, hashing, and sorting algorithms. It also includes math refresher sections that cover important mathematical concepts such as logarithmic functions, factorial functions, and algebraic expressions.

This course is ideal for anyone looking to build a strong foundation in computer science or prepare for a career in software engineering, data science, or other computer science fields.

Pros

• In-depth lessons on Data Structure and Algorithms
• Bestseller Computer Science course on Udemy
• Quizzes at the end of each section

Cons

• Curriculum may be too basic for advanced learners

2. [Coursera] Fundamentals of Computing Specialization

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Why we chose this course

This 7-part online course covers fundamental skills in algorithmic thinking, computing principles, and interactive programming.

Using Python, students will learn basic programming concepts such as variables, functions, and conditionals while building an “Asteroids” game. The course also covers topics like recursion, assertions, invariants, and algorithmic efficiency. 

This course is suitable for those interested in building a solid programming and algorithmic thinking foundation with the potential to pursue a career in software development or data science.

Pros

• Learn from Rice University CS faculty
• Each module include a hands-on project

Cons

• Requires knowledge of basic math concepts

3. [Coursera] Introduction to Computer Science and Programming

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Why we chose this course

This program consists of three courses that cover an introduction to computer programming, computer processing, and basic math skills for computer science. 

The first course teaches the fundamentals of computer program editing and running using JavaScript and the p5.js library. The second focuses on how computers process data and the final course covers binary and other number bases, functions, graphs, and more.

By completing this course, students will acquire a solid foundation in computer programming, computer processing, and mathematical concepts that are essential for pursuing a career in computer science.

Pros

• Graded assignments with peer feedback
• Learn from University of London CS faculty

Cons

• No practical projects or assignments

4. [FreeCodeCamp] Harvard CS50 Introduction to Computer Science

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Why we chose this course

This Harvard University course is widely considered one of the best online courses for computer science, and it’s free on the FreeCodeCamp YouTube channel.

It provides a comprehensive introduction to computer science, including topics like computational thinking, data structures, and cybersecurity. The curriculum covers fundamental programming concepts such as variables, functions, loops, and conditionals, using languages such as C, Python, SQL, and JavaScript. 

By taking this course, students will learn how to think algorithmically and solve problems efficiently. The broad range of topics and languages covered makes this course ideal for anyone looking to build a strong foundation in computer science.

Pros

• Teachers can adopt/adapt CS50 for their own courses
• Access to source code for the exercises
• Vibrant CS50 communities online

Cons

• No course completion certificate

5. [edX] Computer Science 101

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Why we chose this course

As one of the best online CS courses, this covers software and hardware, exploring the nature, capabilities, and limitations of computers and code. Topics include programming fundamentals, using JavaScript to teach concepts such as variables, loops, and functions, and hardware topics such as CPU, memory, chips, disks, and more. 

Also, the course covers computer security, data structures, and how the internet works. By taking this course, students can gain a comprehensive understanding of both the theoretical and practical aspects of computing.

Pros

• Extensive review notes for each lecture
• Graded assignments and exams

Cons

• Curriculum may be basic for some learners

6. [edX] Introduction to Computer Science and Programming

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Why we chose this course

The CS faculty at MIT offers this course with an accompanying textbook, providing a balance of video and text resources. The program covers an introduction to computational thinking, algorithmic complexity, testing and debugging, and data structures. 

Students will also learn the foundations of programming with Python. This course is ideal for those looking for a comprehensive introduction to computer science with an emphasis on Python programming.

Pros

• Learn from MIT CS faculty
• The course has an accompanying textbook

Cons

• Using browsers other than Chrome/Firefox may cause viewing issues

7. [Brilliant.org] Computer Science Fundamentals

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Why we chose this course

This course covers essential topics in computer science, such as decision-making, writing programs with Python, computational problem-solving, algorithms, and more. 

It delves into various algorithms, including binary search, divide and conquer, graph algorithms, greedy algorithms, and computational problem-solving elements like abstraction, resource tradeoffs, and parallelism. 

The course is designed to be easy to follow, making it ideal for high school students. It also teaches programming using Python, a language that is easy to learn and widely used in the industry.

Pros

• Ideal for high school/college students
• Learn Python programming

Cons

• No course completion certificate

8. [edureka!] Computer Science Bootcamp Program

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Why we chose this course

The computer science boot camp program is a comprehensive course designed to give students the skills they need to start a career in tech.

The program comprises eight courses covering website design, development, and maintenance. Students will also learn programming languages and libraries like HTML/CSS, JavaScript, C, C++, jQuery, and SQL. 

This program also includes the fundamentals of Linux. Overall, this boot camp is an excellent choice for anyone looking to start a career in the tech industry.

Pros

• Ideal for learners interested in software development
• Access to 24/7 support

Cons

• The course may be lengthy for some
• Learning multiple languages may be overwhelming for beginners

9. [Codecademy] Computer Science Career Path

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Why we chose this course

This computer science path starts with in-depth coverage of Python before moving onto data structures and algorithms, so expect to learn about lists, stacks, queues, and heaps.

You will also learn about computer architecture, including the design and layout of different components that make up a computing system. 

The course ends with an overview of discrete math, which is an important area for computer scientists who want to develop algorithms, models, and systems that can handle discrete data and structure.

Pros

• Learn by building computer science projects
• Learn programming basics with Python

Cons

• Curriculum may be too basic for some learners

10. [Educative] Number Systems for Computer Scientists

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Why we chose this course

This online course offers an introduction to number systems that are essential for computer scientists, such as binary, hexadecimal, and octal systems.

Students will learn how to convert between these systems and perform binary arithmetic. The course also covers the basics of computer storage and the representation of numbers using fixed-point and floating-point notation. 

No programming knowledge is needed; the only background required is grade-school arithmetic. By the end of the course, students will be able to create their number system and comprehensively understand how numbers are used in computer science.

Pros

• Comprehensive introduction to number systems
•  Includes exercises and practice challenges

Cons

• No lessons on programming

11. [Udacity] Intro to Theoretical Computer Science

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Why we chose this course

The free course offered is extracted from Udacity's Nanodegree on the Introduction to Programming. This course aims to teach the theory behind fundamental topics in computer science, starting with problem-solving as the foundation of computer science. The course then delves into various ways of approaching and finding solutions to problems. 

Students will also learn about the concept of hard problems, NP-completeness, complexity classes, and other related topics. This course is suitable for those interested in building a strong foundation in computer science due to its focus on theoretical concepts.

Pros

• Learn the theory of computer science
• Interactive quizzes after each section

Cons

• Limited to theoretical concepts

Tips for Succeeding as a Computer Science Student

The Most Important Topics to Learn

1. Programming: This involves writing code in various programming languages to create software applications, websites, and other computer-based tools. Learning programming teaches you how to think logically, break down complex problems into smaller components, and develop efficient and maintainable code.
2. Data Structures & Algorithms (DSA): DSA provides a way to organize and store data efficiently and help to solve complex problems. Learning DSA is crucial for developing effective and optimized software applications. DSA knowledge is also essential for technical interviews.
3. Computer Architecture: This includes understanding various computer components, such as a processor, memory, and input/output devices, and how they work together to run programs. This is essential for developing efficient software that can take advantage of a computer's resources.
4. Operating Systems (OS): These are the software programs that manage a computer's resources, such as Windows, MacOS, and Linux. Learning about OS is crucial for developing software applications that run efficiently. 
5. Databases: Databases store and organize large amounts of data and are essential for many software applications. Learning to design and manage complex data systems and writing efficient queries is essential in both SQL and NoSQL.
6. Computer Networks: This is the infrastructure that connects different computer systems and devices, and it also includes protocols and technologies that allow computers to communicate with each other. Basic knowledge of networks will help you understand how data is transmitted and how computer systems interact.
7. Software Engineering: This is the process of designing, developing, and maintaining software applications. It involves understanding user requirements, writing efficient and maintainable code, and testing software to ensure its quality and reliability. This is essential for developing high-quality software applications that meet user needs.

Looking for ways to boost your IT skills? Check out The Best IT Courses

Other Useful Tips

• Stay Organized: Managing your time is crucial, especially when taking computer science classes. Calendars and other project management tools can help you track your goals and meet deadlines, which will help you manage your workload and stay organized.
• Practice: Practice makes perfect, and repetition is essential when it comes to building your skills. Take time to practice what you learn from courses or read computer science books. Consistent practice will help you learn skills faster.
• Join a Community: Communities of like-minded individuals can help you stay motivated and provide networking opportunities. It can also help you learn from others, get feedback on your work, and discover new resources.
• Keep up with Trends: Computer science is rapidly evolving, so staying on top of the latest trends is key. Follow blogs like Hackr.io to help you stay up-to-date. This will help you stay ahead of the curve and prepare for the job market.
• Take Breaks: It's important to prioritize self-care and take breaks when needed. Computer science classes can be challenging, and it's easy to get overwhelmed. Regular breaks can help you avoid burnout and stay focused on your goals.

Conclusion

Taking a computer science course online is an excellent way to upskill and stay competitive in today's fast-paced digital world. In this article, we’ve found the 11 best computer science courses online in 2024 to help you learn these essential skills from some of the world's leading experts in computer science.

These online courses provide flexibility in scheduling and pacing, allowing learners to balance their studies with work, family, and other commitments. This makes them an excellent way to further your education without disrupting your current lifestyle.

So whether you’re looking to expand your computer knowledge or want to learn the right skills to pursue a career in tech, any of the best online computer science courses on our list can provide you with the foundational skills you need to succeed.

Want to expand your CS skills? Check out:

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Frequently Asked Questions (FAQs)

1. Are There Free Online Computer Science Courses?

There are several free computer science courses online you can take advantage of. In this article, we’ve listed four, including the well-respected and renowned Harvard University CS50 Course. Check out the summary table to see the rest.

2. How Long Is the Average Online Computer Science Course?

Every course is unique, meaning that the best courses in computer science can be as short as a few hours or as long as a year. Ultimately, it depends on how much depth you’re looking for and how much time you can dedicate to learning. 

3. What Jobs Can You Get After Completing a Computer Science Course?

Completing computer science classes can open up many job opportunities in the tech industry. Depending on your chosen course, you can pursue careers in software development, data science, machine learning, cybersecurity, database administration, game development, and more.