15 Best Free and Affordable Computer Science Courses Online
Find 15 best free and affordable computer science courses online. Learn in-demand skills to get a better understanding on computer science topics.
Computer Science is a range of computer science topics that includes both computer software and hardware. These days, study of computer science can be very affordable, and it always offers a variety of benefits. Computer science study can open up doors for many job seekers and career switchers.
Sub-disciplines of computer science includes theory, analytics, hardware and software systems, data science, and a range of other topics that will enrich your professional skills. These free online computer science courses include full set of class lectures, high-quality downloadable videos, audios and text transcript formats. Many courses are from world’s leading universities that will deepen your professional education.
You can also achieve certificate after completion of a course, but in some cases you need to pay for certificates. We’ve compiled a list of computer science courses listed below. Learn in-demand skills to get a better understanding of how computer systems are developed and designed.
Best 15 Free Online Computer Science Courses
Many reputable course providers like Coursera, EdX, FutureLearn offer free online computer science courses. In this article, we go over 15 best free and affordable computer science courses online.
1. CS50’s Introduction to Computer Science
Offered by: Harvard University
Length: 12 weeks, Self-paced
CS50’s Introduction to Computer Science is a highly popular and renowned computer science course offered by Harvard University. It provides a comprehensive introduction to the fundamental concepts of computer science and programming.
The course covers a wide range of topics, including algorithms, data structures, programming languages (such as C, Python, and JavaScript), software development methodologies, computer hardware, memory management, and more. It emphasizes problem-solving and critical thinking skills, helping students develop a strong foundation in computer science principles.
CS50’s Introduction to Computer Science is highly recommended for individuals looking to start their journey in computer science or programming, as it provides a solid foundation and a thorough understanding of key concepts and practices in the field.
2. Introduction to Computer Science and Programming Using Python
Offered by: MIT
Length: 9 weeks, Instructor-paced
This course is designed to provide learners with a comprehensive introduction to the fundamental concepts of computer science and programming using the Python programming language. The course is developed by the Massachusetts Institute of Technology (MIT) and is based on their popular introductory computer science course, MITx 6.00.1x.
The course aims to teach learners how to think algorithmically and solve problems efficiently through programming. It assumes no prior programming experience, making it suitable for beginners who are interested in learning computer science and programming from scratch.
Throughout the course, learners will be introduced to key programming concepts such as variables, expressions, conditionals, loops, functions, and objects. They will also learn how to design and implement algorithms, work with data structures like lists and dictionaries, and tackle various problem-solving exercises.
3. CS50’s Web Programming with Python and JavaScript
Offered by: Harvard University
Length: 12 weeks, Self-paced
This course is developed by Harvard University’s CS50 team, it focuses on teaching learners how to design and develop dynamic web applications using Python, JavaScript, HTML, CSS, and SQL.
The course assumes some prior programming knowledge, although it still welcomes beginners and provides resources to support their learning journey. It covers essential web development concepts and technologies, enabling learners to build their own web applications from scratch.
Throughout the course, learners will explore front-end and back-end web development, understanding how to create interactive user interfaces using HTML, CSS, and JavaScript. They will also learn server-side programming with Python and frameworks like Flask and Django, gaining the skills to build dynamic web applications that interact with databases.
4. CS50’s Computer Science for Business Professionals
Offered by: Harvard University
Length: 6 weeks, Self-paced
“CS50’s Computer Science for Business Professionals” is a course offered on the edX platform by Harvard University’s CS50 team. This course aims to provide business professionals with a foundational understanding of computer science concepts and their applications in the business world.
The course is designed for individuals without prior programming experience and focuses on practical applications of computer science rather than technical details. It covers topics such as algorithms, data structures, databases, networks, and web development.
By completing this course, learners will gain a solid foundation in computer science principles relevant to the business context. They will be equipped with a broader understanding of how technology and computer science concepts can be applied strategically in business settings.
5. Python Data Structures
Offered by: The University of Michigan
Length: 7 weeks, Self-paced
This course generally focus on teaching learners how to work with various data structures using the Python programming language.
“Python Data Structures” course typically cover topics such as lists, tuples, dictionaries, sets, and strings. Learners will explore the characteristics and functionalities of these data structures, understand their use cases, and learn how to manipulate and access data within them.
Through hands-on exercises and programming assignments, learners get practical experience in implementing and utilizing different data structures in Python. They may also work on real-world examples and projects to reinforce their understanding and problem-solving skills.
6. Computer Vision Basics
Offered by: University at Buffalo, and The State University of New York
Length: 13 hours, Self-paced
The “Computer Vision Basics” course on Coursera is a beginner-level course that introduces the fundamental concepts and techniques in computer vision. It covers fundamental concepts and techniques in computer vision.
The course includes video lectures, quizzes, programming assignments, and a final exam. By completing this course, learners gain foundational knowledge and practical skills for computer vision projects.
The “Computer Vision Basics” course on Coursera includes a combination of video lectures, quizzes, programming assignments, and a final exam. It aims to equip learners with the foundational knowledge and practical skills required to start working on computer vision projects.
7. Introduction to TCP/IP
Offered by: Yonsei University
Length: 7 hours, Self-paced
This course is designed to provide learners with a comprehensive introduction to the fundamental concepts and protocols of the TCP/IP (Transmission Control Protocol/Internet Protocol) suite. TCP/IP is the foundational protocol suite of the internet and is used for communication between computers and networks.
The course covers topics such as overview of TCP/IP, IP Addressing, Understanding the Transmission Control Protocol (TCP) and User Datagram Protocol (UDP), Domain Name System (DNS), Internet Protocol version 6 (IPv6), Network Address Translation (NAT), network protocols and services such as DHCP, FTP, HTTP, and SMTP.
The “Introduction to TCP/IP” course on Coursera includes a combination of video lectures, quizzes, programming assignments, and a final exam. It aims to equip learners with the foundational knowledge and practical skills required to start working on TCP/IP.
8. Machine Learning
Course Provider: Udacity
Length: 10 Weeks, Self-paced
Machine learning is a popular and rapidly evolving field, and there are numerous courses available online to help you learn and enhance your understanding of machine learning concepts and techniques.
The topic of machine learning courses typically revolves around the field of machine learning itself. These courses cover the principles, algorithms, and techniques used in machine learning, with the goal of enabling learners to build models that can learn and make predictions from data.
This course will teach you the process of investigating data through machine learning concept. You will learn how to extract and identify useful features that best represent data, You will also learn some of the most important machine learning algorithms.
9. Software Architecture & Design
Offered by: Georgia Institute of Technology
Length: 2 Months, Self-paced
This course on Udacity provides a comprehensive understanding of designing and architecting software systems. It covers key concepts, principles, and best practices for creating scalable, maintainable, and high-quality software architectures.
In this course, you’ll learn about software architecture styles, such as layered architecture, microservices, and event-driven architecture. You’ll also explore various design patterns and principles that help in structuring software systems effectively.
10. Introduction to Linux
Offered by: The Linux Foundation
Length: 14 Weeks, Self-paced
This course course on edX provides a comprehensive introduction to the Linux operating system. It covers the basics of using Linux, including command-line navigation, file manipulation, text processing, and shell scripting.
Throughout the course, you’ll learn essential Linux concepts and commands, gaining proficiency in working with the command line interface. You’ll explore topics like file permissions, process management, package management, and system administration tasks.
By the end of the course, you should have a solid foundation in using Linux, enabling you to navigate the command line, perform common tasks, and effectively work in a Linux environment.
11. Configuring Linux Web Servers
Course provider: Udacity
Length: 1 week, Self-paced
This course focuses on how to set up, configure, and secure Linux-based web servers. It covers essential topics such as server installation, user management, file permissions, web server software (such as Apache or Nginx), DNS configuration, SSL/TLS encryption, and firewall setup.
The course also emphasizes best practices for server optimization, performance tuning, and troubleshooting common issues.
By completing the this course, students acquire the knowledge and skills necessary to confidently handle the setup and administration of Linux-based web servers, making them well-prepared for web development or system administration roles.
12. Computer Networking
Offered by: Georgia Institute of Technology
Length: 3 months, Self-paced
This course provides a comprehensive introduction to the fundamental concepts and principles of computer networking. The course covers a wide range of topics related to networking, including network architectures, protocols, IP addressing, routing, switching, and network security.
Through interactive lessons and hands-on projects, students learn about the different layers of the network stack, such as the application layer, transport layer, network layer, and link layer.
By completing this course, students gain a solid understanding of how computer networks function, the protocols and technologies involved, and the best practices for designing, implementing, and securing networks.
13. Intro to Information Security
Offered by: Georgia Institute of Technology
Length: Undefined, Self-paced
This course on Udacity aims to familiarize students with the fundamental concepts, principles, and practices related to securing digital information and systems.
Throughout the course, students learn about various aspects of information security, including threat models, vulnerabilities, attacks, cryptography, network security, web security, and secure coding practices.
Through interactive lessons, real-world examples, and hands-on exercises, students gain a foundational understanding of information security principles and techniques.
14. Intro to Data Science
Offered by: Udacity
Length: 2 months, Self-paced
This course provides an introduction to the foundational concepts and techniques of data science. Throughout the course, students learn about key data science topics, including data manipulation, data visualization, statistical analysis, and machine learning.
Through interactive lessons and practical exercises, students develop a strong foundation in data science methodology. They learn how to preprocess and analyze data, derive meaningful insights, and communicate their findings effectively.
By completing the course, learners acquire the necessary skills to start their journey in the field of data science.
15. Computer Science 101
Offered by: Stanford University
Length: 6 weeks, Self-paced
Computer Science 101 is an online course offered by Stanford University via Open edX. The course provides a broad introduction to the field of computer science, covering fundamental concepts and principles.
Throughout the course, students learn about various topics in computer science, including algorithms, data structures, programming languages, computer architecture, and operating systems.
The course consists of video lectures, readings, and programming assignments that allow students to apply their knowledge and practice programming skills. It aims to provide a solid foundation in computer science principles and problem-solving techniques.
FAQ About Free Online Computer Science Courses
What are the most in-demand computer science courses?
The most in-demand computer science courses include AI and Machine Learning, Data Science and Big Data Analytics, Cybersecurity, Full Stack Web Development, Cloud Computing, Mobile App Development, and Internet of Things (IoT). These courses are sought after due to the rapid growth and advancement in these fields, their wide-ranging applications, and the increasing demand for professionals with expertise in these areas.
Where can I get computer science courses for free?
There are several online platforms where you can access computer science courses for free. Some popular platforms are Coursera, Edx, FreeCodeCamp, MIT OpenCourseWare, Stanford Online etc. However, it’s important to note that while these platforms offer free courses, some may charge a fee if you want a verified certificate or additional features.
How long are the computer science courses?
The duration of computer science courses on different platforms like Coursera or edX can vary depending on the specific course and its content. These platforms offer a wide range of courses, from short and focused courses to more comprehensive programs. Typically, the short courses are a range from a few hours to a few weeks in duration. It’s important to note that some courses have set start and end dates, while others are self-paced and can be completed on a schedule that suits the learner.
Why computer science courses are important?
Computer science courses are important for the vast career opportunities they offer, their contribution to technological advancement, the development of critical thinking and problem-solving skills, digital literacy, collaboration and communication skills, and the ability to adapt to a rapidly changing technological landscape.
What topic should I choose from computer science courses?
The choice of a topic in computer science courses depends on your interests, career goals, and the specific area of computer science that resonates with you. However, some popular and in-demand topics are: Artificial Intelligence (AI) and Machine Learning (ML), Data Science and Big Data Analytics, Cybersecurity, Full Stack Web Development, Cloud Computing, and Mobile App Development.
If you’re interested in Self-Paced online courses that you can start anytime, visit our collection: Self-Paced Courses: Start Your Best Online Courses Anytime. For a list of online courses by subject, visit Best Free Online Courses and Certifications to Learn New Skills. For a list of best websites for free online courses, visit Best Websites for Online Courses.
