Get a Head Start on the New Year with These Free Computer Science Courses from MIT

A self-taught engineer is someone who has learned engineering principles and skills without formal education or training in engineering. This typically means that the person has studied engineering concepts on their own, either through self-study or through practical experience, rather than earning a degree in engineering from a college or university. Some self-taught engineers may have received some formal education in engineering, but have mostly learned through self-study and practical experience. Being self-taught can be a challenging and rewarding path, but it may also make it more difficult to enter the engineering field and compete with those who have formal education and training. However, this doesn’t mean it’s impossible to land a job paying upwards of $200,000. We built Coachable exactly for you to guide you and help you use the skills you learn from courses like these to land an amazing FAANG job.
"Introduction to Computer Science and Programming Using Python" on MIT OpenCourseWare: This course is an introduction to computer science and programming using the Python programming language. It covers the basics of computer science, as well as more advanced topics like data structures and algorithms.
"General Introductions to Programming" on MITx: This course is an introduction to programming language for those with little or no programming experience.
"Python Classes and Inheritance" on edX: This course, offered through MITx on edX, is an introduction to computer science and programming using the Python programming language. It covers the basics of Python programming, as well as more advanced topics like data structures and algorithms.
"Introduction to Algorithms" on MIT OpenCourseWare: This course covers the design and analysis of algorithms, including topics like sorting, searching, graph algorithms, and NP-completeness. It is intended for students with a strong background in computer science.
"Data Structures and Algorithms" on MIT OpenCourseWare: This course covers the design, analysis, and implementation of data structures and algorithms, including topics like lists, stacks, queues, trees, and graphs. It is intended for students with a strong background in computer science.
Overall, these are just a few of the free courses offered by MIT. By taking advantage of these resources, you can gain the skills and knowledge you need to succeed in the competitive world of tech.