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E-learning: 10 Free Courses from MIT

E-learning: 10 Free Courses from MIT
The MIT has been offering free online courses to learners worldwide for a few years now through the edX platform. (iStock)

Have you always dreamed of taking courses at the prestigious MIT? The renowned institute in Cambridge, Massachusetts has been offering free online courses to learners worldwide for a few years now through the edX platform. Here’s a selection of 10 of these courses available for enrollment in 2024 in the field of IT.

In recent years, academic institutions like Harvard, MIT, and Princeton have been offering free online education accessible to learners around the world. A year at an American university can cost around €50,000. Therefore, this type of online education via platforms like edX offers an alternative.

Here’s a selection of 10 courses related to computer science, machine learning and data science. You’ll have access to videos and short exercises.

While these courses are free to take, learners will need to pay a fee of €70 per course to obtain a verified certificate of completion to showcase on their CV.

1/ Introduction to Computer Science and Programming Using Python

This course is intended for students with little or no programming experience. It aims to provide them with an understanding of the role computation can play in solving problems.

They will be able to write small programs that allow them to solve real-world analytical problems. The class uses the Python 3.5 programming language.

2/ Introduction to Computational Thinking and Data Science

This course will teach you how to use computation to accomplish a variety of goals and provide you with a brief introduction to a variety of topics in computational problem-solving.

This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity.

3/ Machine learning with Python 

This course is an in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects.

4/ Supply Chain Analytics

Supply chains are complex systems involving multiple businesses and organizations with different goals and objectives.

This business and management course introduces the different analytical methods and techniques that are used to better design and manage supply chains. 

5/ Understanding the World Through Data

Speech recognition, drones, and self-driving cars are now widely available technologies and are just a few examples of how humans have taught machines to analyze data and make decisions.

In this hands-on, introductory course, you will learn tools that uncover relationships between data, and leverage basic algorithms to understand the world from a new perspective.

6/ Computational Thinking for Modeling and Simulation

This course will help you develop the thought processes involved in formulating a problem so a computer can effectively carry out the solution.

It emphasizes the use of computers for modeling physical systems and predicting their behavior.

7/ Probability – The Science of Uncertainty and Data

This course will introduce you to the basic structure of probabilistic models and help you build foundational knowledge of data science.

This includes random processes and the basic elements of statistical inference.

8/ Fundamentals of Manufacturing Processes

This course will teach you the processes used to manufacture products ranging from toys to smartphones and learn fundamental principles and practical considerations that enable production at scale.

9/ Fundamentals of Statistics

This course will help you develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing, and prediction.

10/ Becoming an Entrepreneur

This course will teach you the business skills and startup mindset needed to embark on your entrepreneurial path from the premier program for aspiring entrepreneurs, MIT Launch.