Stanford University is offering free online courses.
No sort of fees are required.
Here are the top 11 courses you don't want to miss in 2024:
No sort of fees are required.
Here are the top 11 courses you don't want to miss in 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
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
2. Intro to Artificial Intelligence
Youβll learn the basics of modern AI as well as some of the representative applications of AI.
udacity.com
Youβll learn the basics of modern AI as well as some of the representative applications of AI.
udacity.com
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
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
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
Learn to solve practical problems with Python.
You'll learn the fundamentals of the Python programming language, along with programming best practices.
udacity.com
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
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
6. Designing Your Career
Youβll learn:
β How to break into a new field of interest
β New ways to understand and approach networking
β A new angle on pursuing professional opportunities
edx.org
Youβll learn:
β How to break into a new field of interest
β New ways to understand and approach networking
β A new angle on pursuing professional opportunities
edx.org
7. Machine Learning Specialization:
β Self-paced
β 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
β Self-paced
β 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
8. Databases: Advanced Topics in SQL:
β Self-paced
β Duration - 2 weeks
It Covers:
β’ Indexes
β’ Transactions
β’ Constraints, and much more!
Get a Certificate upon completion.
edx.org
β Self-paced
β Duration - 2 weeks
It Covers:
β’ Indexes
β’ Transactions
β’ Constraints, and much more!
Get a Certificate upon completion.
edx.org
9. Computer Science 101:
β Self-paced
β Duration - 6 weeks
This course teaches the essential ideas of Computer Science for a zero-prior-experience audience.
Instructor:
β’ Nick Parlante
edx.org
β Self-paced
β Duration - 6 weeks
This course teaches the essential ideas of Computer Science for a zero-prior-experience audience.
Instructor:
β’ Nick Parlante
edx.org
10. Quantum Mechanics for Scientists and Engineers:
β Self-paced
β Duration - 9 weeks
This course is a substantial introduction to quantum mechanics and how to use it.
Instructor:
β’ David Miller
edx.org
β Self-paced
β Duration - 9 weeks
This course is a substantial introduction to quantum mechanics and how to use it.
Instructor:
β’ David Miller
edx.org
11. Principles of Economics:
β Self-paced
β 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:
β’ John Taylor & Yiming He
edx.org
β Self-paced
β 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:
β’ John Taylor & Yiming He
edx.org
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