Have you ever thought about studying at one of the best universities in the world completely for free? Stanford, from the United States, has an offer of more than 100 free courses on an online platform. Of these, 24 are from the technology area, whose demand only grows every day.
This is a unique opportunity to improve your knowledge or even open a new door and learn new skills. This in a high-level academic community.
see more
Government of Goiás announces 1500 vacancies for robotics course
Google proposes 18 free courses to leverage your knowledge;…
If you want to take completely free courses in areas such as Artificial Intelligence, Data Science, Games and cybersecurity, Algorithms and Design Thinking, read on.
How to enroll in Stanford courses?
Stanford University's free courses are taught by specialized professors and try to balance both theory and practice. Didactic materials, exercises are also available and there is the possibility to participate in discussion forums.
The content is all in English; there is no certificate of additional hours at the end of the course.
To enroll, simply enter the university’s online platform – click here.
And, if you are interested in other areas of knowledge, you can take free courses in: Health, Medicine, Education, Arts and Humanities.
About Stanford
Stanford University is one of the most recognized in the world. Founded in 1885, located in California, United States, it is known for having excellence in technology training, in addition to encouraging students to work towards innovation.
Among his famous alumni are Larry Page, Reese Witherspoon and Elon Musk.
Free courses available:
- Greedy Algorithms, Minimal Spanning Trees and Dynamic Programming;
- Algorithms: Design and Analysis, Part 1;
- Algorithms: Design and Analysis, Part 2;
- Statistical Learning;
- Databases: relational and SQL databases;
- Databases: Semi-structured data;
- Databases: Modeling and Theory;
- Databases: OLAP and Recursion;
- Databases: Advanced Topics in SQL;
- Computer Science 101;
- compilers;
- Encryption I;
- Divide and conquer, sort and search, and random algorithms;
- Specialization in Machine Learning;
- Fundamentals of R Programming;
- Introduction to Statistics;
- Convex optimization;
- Graph search, shortest paths and data structures;
- Designing your career;
- Game theory;
- Automata Theory;
- Game Theory II: Advanced Applications;
- Advanced cybersecurity program view
Graduated in Social Communication at the Federal University of Goiás. Passionate about digital media, pop culture, technology, politics and psychoanalysis.