Stanford University offers free online courses. With no fees needed. Check out the top 11 courses for 2024:

alifcoder's tweet image. Stanford University offers free online courses.

With no fees needed.

Check out the top 11 courses for 2024:

1. Computer Science 101 Introduction to Computer Science for a zero-prior-experience audience. Play with little phrases of code to understand what computers are all about. edx.org/learn/computer…


2. Intro to Artificial Intelligence You’ll learn the basics of modern AI as well as some of the representative applications of AI. udacity.com/course/intro-t…


3. Artificial Intelligence for Robotics Programming a Robotic Car. Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams. udacity.com/school/artific…


4. Introduction to Python Programming Learn to solve practical problems with Python. You'll learn the fundamentals of the Python programming language, along with programming best practices. udacity.com/course/introdu…


5. Introduction to Machine Learning Course Machine Learning is a first-class ticket to the most exciting careers in data analysis today. This is a class that will teach you the end-to-end process of investigating data through a machine-learning lens. udacity.com/course/intro-t…


6. Designing Your Career You’ll learn: → How to break into a new field of interest → New ways to understand and approach networking → A new angle on pursuing professional opportunities edx.org/learn/career-d…


7. Machine Learning Specialization: → Self-paced → Duration - 8 weeks A beginner-friendly program that teaches you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. udacity.com/course/intro-t…


8. Databases: Advanced Topics in SQL: → Self-paced → Duration - 2 weeks It Covers: • Indexes • Transactions • Constraints, and much more! Get a Certificate upon completion. edx.org/learn/sql/stan…

alifcoder's tweet image. 8. Databases: Advanced Topics in SQL:

→ Self-paced
→ Duration - 2 weeks

It Covers:
• Indexes
• Transactions
• Constraints, and much more!

Get a Certificate upon completion.

<a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://www.edx.org/learn/sql/stanford-university-databases-advanced-topics-in-sql">edx.org/learn/sql/stan…</a>

9. Computer Science 101: → Self-paced → Duration - 6 weeks This course teaches the essential ideas of Computer Science for a zero-prior-experience audience. Instructor: • Nick Parlante edx.org/learn/computer…

alifcoder's tweet image. 9. Computer Science 101:

→ Self-paced
→ Duration - 6 weeks

This course teaches the essential ideas of Computer Science for a zero-prior-experience audience.

Instructor:
• Nick Parlante

<a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://www.edx.org/learn/computer-science/stanford-university-computer-science-101">edx.org/learn/computer…</a>

10. Quantum Mechanics for Scientists and Engineers: → Self-paced → Duration - 9 weeks This course is a substantial introduction to quantum mechanics and how to use it. Instructor: • David Miller edx.org/learn/quantum-…

alifcoder's tweet image. 10. Quantum Mechanics for Scientists and Engineers:

→ Self-paced
→ Duration - 9 weeks

This course is a substantial introduction to quantum mechanics and how to use it.

Instructor:
• David Miller

<a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://www.edx.org/learn/quantum-physics-mechanics/stanford-university-quantum-mechanics-for-scientists-and-engineers-1">edx.org/learn/quantum-…</a>

11. Principles of Economics: → Self-paced → Duration - 10 weeks This course is designed as an introduction to the study of economics. Participants will be exposed to the economic way of thinking. Instructors: • John Taylor & Yiming He edx.org/learn/economic…

alifcoder's tweet image. 11. Principles of Economics:

→ Self-paced
→ Duration - 10 weeks

This course is designed as an introduction to the study of economics. Participants will be exposed to the economic way of thinking.

Instructors:
• John Taylor &amp; Yiming He

<a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://www.edx.org/learn/economics/stanford-university-principles-of-economics">edx.org/learn/economic…</a>

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