10 Harvard courses you don’t want to miss in 2025
10 Harvard courses you don’t want to miss in 2025
[Nishat JahanNishat Jahan • 3.+ • 3.+ The AI Gal | Keeping you ahead in the world of AIThe AI Gal | Keeping you ahead in the world of AI](https://www.linkedin.com/in/uuushaaa?miniProfileUrn=urn%3Ali%3Afsd_profile%3AACoAADOXOo0BAnJCPn-V7O6i_uSSK8YLHwxRevY) 1 Woche • |
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[Harvard University just released free online courses.
No payment needed.
Here are 10 Harvard courses you don’t want to miss in 2025:
- Introduction to Computer Science
The intellectual enterprises of computer science and the art of programming.
→ Beginner level
→ 12-week program
](https://www.linkedin.com/feed/update/urn:li:activity:7294250676069511168/)https://lnkd.in/gSK3-GAS
- Introduction to AI with Python
You will learn how to use machine learning in Python.
→ Beginner-friendly
→ 7-week program
- Web Programming with Python and JavaScript
Take your web app development skills to the next level with this comprehensive course on using Python, JavaScript, and SQL.
- Understanding Technology
Introduction to technology for students who don’t (yet!) consider themselves computer persons.
→ Beginner-friendly
→ 6-week program
- Introduction to Game Development
Learn 2D and 3D game development in this hands-on course.
→ Intermediate level
→ 12-week program
- Introduction to Cybersecurity
This program offers an introduction to cybersecurity, suitable for both technical and non-technical audiences.
→ Beginner level
→ 5-week program
- Data Science: Machine Learning
Build a movie recommendation system and gain insights into one of the most popular and effective data science techniques.
→ 8-week program
- Data Science: Productivity Tools
Stay organized and generate reproducible reports for your projects with the help of GitHub, git, Unix/Linux, and RStudio.
→ Beginner-friendly
→ 8-week program
- Leaders of Learning
Explore theories of learning and leadership. Gain tools to shape the future of learning.
→ Beginner
→ 10-week program
- Introduction to Data Science with Python
Gain hands-on experience and solve real data science challenges using Python.
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