Harvard Free Online Computer Science Courses in 2024

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Look no further than Harvard University! In 2024, they’re opening their doors to the world with a fantastic selection of Free Online Computer Science Courses.

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Harvard Free Online Computer Science Courses in 2024

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About the Harvard

Harvard University is a private Ivy League research university in Cambridge, Massachusetts. Founded in 1636 as Harvard College and named for its first benefactor, the Puritan clergyman John Harvard, it is the oldest institution of higher learning in the United States. Its influence, wealth, and rankings have made it one of the most prestigious universities in the world.

Harvard’s founding was authorized by the Massachusetts colonial legislature, “dreading to leave an illiterate ministry to the churches”. Though never formally affiliated with any denomination, in its early years Harvard College primarily trained Congregational clergy. Its curriculum and student body were gradually secularized during the 18th century.

By the 19th century, Harvard emerged as the most prominent academic and cultural institution among the Boston elite. Following the American Civil War, under President Charles William Eliot’s long tenure (1869–1909), the college developed multiple affiliated professional schools that transformed the college into a modern research university. In 1900, Harvard co-founded the Association of American Universities James B. Conant led the university through the Great Depression and World War II, and liberalized admissions after the war.

Eligibility Criteria

This Harvard Free Online Computer Science Courses for College Student with any stream.

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Here Are Harvard’s Free Online Computer Science Courses

1.CS50: Introduction to Computer Science

This is CS50x , Harvard University’s introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard’s largest course. 

Course Link Click Here

2. Introduction to Data Science with Python

Data science is an ever-evolving field, using algorithms and scientific methods to parse complex data sets. Data scientists use a range of programming languages, such as Python and R, to harness and analyze data. This course focuses on using Python in data science. By the end of the course, you’ll have a fundamental understanding of machine learning models and basic concepts around Machine Learning (ML) and Artificial Intelligence (AI). 

Using Python, learners will study regression models (Linear, Multilinear, and Polynomial) and classification models (kNN, Logistic), utilizing popular libraries such as sklearn, Pandas, matplotlib, and numPy. The course will cover key concepts of machine learning such as: picking the right complexity, preventing overfitting, regularization, assessing uncertainty, weighing trade-offs, and model evaluation. Participation in this course will build your confidence in using Python, preparing you for more advanced study in Machine Learning (ML) and Artificial Intelligence (AI), and advancement in your career.

Course Link Click Here

3.CS50’s Web Programming with Python and JavaScript

Topics include database design, scalability, security, and user experience. Through hands-on projects, you’ll learn to write and use APIs, create interactive UIs, and leverage cloud services like GitHub and Heroku. By course’s end, you’ll emerge with knowledge and experience in principles, languages, and tools that empower you to design and deploy applications on the Internet.

Course Link Click Here

4.CS50: Introduction to Computer Science

This is CS50x , Harvard University’s introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard’s largest course. 

Course Link Click Here

5.Professional Certificate in Computer Science for Game Development

The video games of the 1970s and 1980s have never lost their appeal. Pong, Super Mario Bros., The Legend of Zelda — these games defined a generation and set the stage for the massive billion-dollar video game industry of today. Even among the current blockbuster action-adventure titles, retro indie games play an important role, but how are these games made? What principles do you need to master to become a game designer and create the next hit title?

Course Link Click Here

6.CS50’s Introduction to Artificial Intelligence with Python

AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

Course Link Click Here

7.CS50’s Introduction to Cybersecurity

This is CS50’s introduction to cybersecurity for technical and non-technical audiences alike. Learn how to protect your own data, devices, and systems from today’s threats and how to recognize and evaluate tomorrow’s as well, both at home and at work. Learn to view cybersecurity not in absolute terms but relative, a function of risks and rewards (for an adversary) and costs and benefits (for you). Learn to recognize cybersecurity as a trade-off with usability itself. Course presents both high-level and low-level examples of threats, providing students with all they need know technically to understand both. Assignments inspired by real-world events.

Course Link Click Here

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8.HarvardX: CS50’s Mobile App Development with React Native

This course picks up where CS50 leaves off, transitioning from web development to mobile app development with React Native.

The course introduces you to modern JavaScript (including ES6 and ES7) as well as to JSX, a JavaScript extension. Through hands-on projects, you’ll gain experience with React and its paradigms, app architecture, and user interfaces. The course culminates in a final project for which you’ll implement an app entirely of your own design.

Course Link Click Here

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FAQ

What free Online computer science courses does Harvard offer?

The crown jewel of online CS offerings is CS50’s Introduction to Computer Science. This comprehensive course covers the fundamentals of programming, computer systems, and web development using C, Python, JavaScript, and SQL. It’s designed for beginners with no prior experience and boasts over 4 million learners worldwide!

Are there other free Online Computer Science courses available?

Absolutely! In addition to CS50,on edX offers several free introductory courses that delve deeper into specific areas of computer science, like:
CS50: Introduction to Computer Science
Introduction to Data Science with Python
CS50: Introduction to Computer Science

What are the benefits of taking these free Online Computer Science courses?

There are many reasons to choose Harvard’s free CS courses:
Renowned Instructors: Learn from Harvard faculty members with years of experience.
Flexible Learning: Study at your own pace, with video lectures, coding exercises, and online communities.
No Prerequisites: Most courses require no prior knowledge of computer science.
Valuable Skills: Gain marketable skills in programming, web development, and artificial intelligence.

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