MIT offers 4 free online courses for Python programmers
Here are 4 courses that MIT offers for techies:
1. Course name: Machine Learning with Python: from Linear Models to Deep Learning
Time commitment: 15 weeks
This course offers an in-depth introduction to the field of machine learning. You will cover topics from linear models to deep learning and reinforcement learning through hands-on Python projects.
2. Course name: Introduction to Computer Science and Programming Using Python
Time commitment: 9 weeks
This introductory course focuses on breadth rather than depth; You’ll learn about Python, simple algorithms, testing and debugging, and data structures. You’ll also get an informal introduction to algorithm complexity.
3. Course name: Policy for Science, Technology and Innovation
Time commitment: 8 weeks
You will examine the science and technology innovation system with an emphasis on public policy and the federal government’s research and development role in that system. The class will use case studies as well as foundations of economic growth theory, innovation systems theory and innovation organization theory, and more. You will build from basic approaches towards an advanced understanding.
4. Course name: Learning Innovation Process via Technology
Time commitment: 8 weeks
Applicable to organizations or individuals, this course teaches the iterative innovation process. You will learn about the interconnectedness of markets, implementation, and technology, and how to spot opportunities in each. Throughout the course, you will build an innovation process model with real examples and exercises.
The(MIT) is ranked the second best institute in the world in 2021, Harvard being the topper. Despite the exclusivity that comes with prestige, the institution offers accessibility to its educational resources. You can take thousands of freecourses online.Here are 4that MIT offers for techies:Time commitment: 15 weeksThis course offers an in-depth introduction to the field of machine learning. You will cover topics from linear models to deep learning and reinforcement learning through hands-on Python projects.Time commitment: 9 weeksThis introductory course focuses on breadth rather than depth; You’ll learn about Python, simple algorithms, testing and debugging, and data structures. You’ll also get an informal introduction to algorithm complexity.Time commitment: 8 weeksYou will examine the science and technology innovation system with an emphasis on public policy and the federal government’s research and development role in that system. The class will use case studies as well as foundations of economic growth theory, innovation systems theory and innovation organization theory, and more. You will build from basic approaches towards an advanced understanding.Time commitment: 8 weeksApplicable to organizations or individuals, this course teaches the iterative innovation process. You will learn about the interconnectedness of markets, implementation, and technology, and how to spot opportunities in each. Throughout the course, you will build an innovation process model with real examples and exercises.