Studying at one of the best universities in the world is my dream, and maybe your dream as well. But sometimes it's just become wishful thinking that is only imagined. It's just difficult and almost impossible with a below-average effort. But now, I and you can do that, no application or fee is required. All is free. Harvard University is offering free online courses for everyone who wants to study from everywhere. I got this information from Twitter and I think it will be more useful to share here, in my blog.
So, here are 10 FREE online courses from Harvard University you don't want to miss:
1. Introduction to Computer Science
This is 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. 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.
Date: January 1, 2019 – December 31, 2023
For registration, check here: https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0
2. Web Programming with Python and JavaScript
This course takes you deep into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap. 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 the 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.
For registration, check here: https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0
3. Introduction to Programming with Scratch
A gentle introduction to programming that prepares you for subsequent courses in coding. Topics include functions, which are instructions that perform tasks; return values, which are results that functions provide; conditions, via which programs can decide whether or not to perform some action; loops, via which programs can take action again and again; variables, via which programs can remember information; and more.
Date: May 1, 2021 – December 31, 2023
For registration, check here: https://pll.harvard.edu/course/cs50s-introduction-programming-scratch?delta=0
4. Introduction to Programming with Python
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more. In this course, you will learn Functions, Variables, Conditionals, Loops Exceptions, Libraries, Unit Tests, File I/O, Regular Expressions, Object-Oriented Programming, etc.
For registration, check here: https://www.edx.org/course/cs50s-introduction-to-programming-with-python
5. Understanding Technology
This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons. This course is designed for those who work with technology every day but don’t necessarily understand how it all works underneath the hood or how to solve problems when something goes wrong, this course fills in the gaps, empowering you to use and troubleshoot technology more effectively. Through lectures on hardware, the Internet, multimedia, security, programming, and web development, this course equips you with today’s technology and prepares you for tomorrow’s as well.
For registration, check here: https://pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0
6. Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this introductory course on artificial intelligence. This course Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.
For registration, check here: https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0
7. Introduction to Game Development
Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more. By class’s end, you'll have programmed several of your own games and gained a thorough understanding of the basics of game design and development.
For registration, check here: https://pll.harvard.edu/course/cs50s-introduction-game-development?delta=0
8. CS50's Computer Science for Business Professionals
This is CS50’s introduction to computer science for business professionals. Through lectures on computational thinking, programming languages, internet technologies, web development, technology stacks, and cloud computing, this course empowers you to make technological decisions even if not a technologist yourself. You’ll emerge from this course with a first-hand appreciation of how it all works and all the more confident in the factors that should guide your decision-making.
For registration, check here: https://pll.harvard.edu/course/cs50s-computer-science-business-professionals-0?delta=0
9. Mobile App Development with React Native
Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift. 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.
For registration, check here: https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native?delta=0
10. Introduction to Data Science with Python
Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data. 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
Date: October 26, 2022 – October 25, 2023
For registration, check here: https://pll.harvard.edu/course/introduction-data-science-python?delta=0
I hope this information is useful and can help you study from anywhere.
