Top 7 Free MIT Online Courses You Can Take (No Degree Required!)

Are you eager to expand your knowledge and skills with world-class education from MIT, one of the most prestigious universities in the world? Discover the top 7 free MIT Online courses that you can enroll in without needing a degree. Whether you’re interested in technology, science, business, or humanities, these courses offer a valuable opportunity to learn from renowned professors and enhance your expertise.

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About the MIT

The Massachusetts Institute of Technology (MIT) is a private land-grant research university in Cambridge, Massachusetts. Established in 1861, MIT has played a significant role in the development of many areas of modern technology and science.

Founded in response to the increasing industrialization of the United States, MIT adopted a European polytechnic university model and stressed laboratory instruction in applied science and engineering. MIT is one of three private land-grant universities in the United States, the others being Cornell University and Tuskegee University. The institute has an urban campus that extends more than a mile (1.6 km) alongside the Charles River, and encompasses several major off-campus facilities such as the MIT Lincoln Laboratory, the Bates Center, and the Haystack Observatory, as well as affiliated laboratories such as the Broad and Whitehead Institutes

Here are the Top 7 Free MIT Online Courses

1.MITx: Supply Chain Analytics

Supply chains are complex systems involving multiple businesses and organizations with different goals and objectives. Many different analytical methods and techniques are used by researchers and practitioners alike to better design and manage their supply chains. This business and management course introduces the primary methods and tools that you will encounter in your study and practice of supply chains. We focus on the application of these methods, not necessarily the theoretical underpinnings.

We will begin with an overview of introductory probability and decision analysis to ensure that students understand how uncertainty can be modeled. Next, we will move into basic statistics and regression. Finally, we will introduce optimization modeling from unconstrained to linear, non-linear, and mixed integer linear programming.

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2.MITx: Becoming an Entrepreneur

Curious about entrepreneurship, but not sure where to start? Becoming an Entrepreneur is designed in partnership with MIT to guide people of all ages and backgrounds through the process of founding a company. With enrollment in the hundreds of thousands, this course is as engaging and accessible as it is informative.

Becoming an Entrepreneur will provide you with inspiration to explore an entrepreneurial path and tools to overcome the initial challenges of building a business.

From developing new business ideas and doing market research to designing and testing your offering and pitching, this course follows LaunchX’s successful approach to entrepreneurship that leverages MIT’s Disciplined Entrepreneurship, lean methodologies, and design thinking. There will be a combination of short videos and activities that will challenge you to get you away from your computer screen and into the community to make a real impact.

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3.MITx: Foundations of Modern Finance

This is a two-part course, and part of the MicroMasters® Program in Finance. It provides a rigorous and comprehensive introduction to the fundamentals of modern finance and their applications to business challenges in valuation, investments, and corporate financial decisions under a unified framework.

Completing this first course and program will help you prepare for a career as a financial analyst, financial advisor, vice president for finance, chief financial officer, and more.

Finance provides a core function in any productive economy by providing a mechanism for savings, investment, and liquidity. Whether the learner is in an industrialized country or a developing country, financial services are essential for the smooth functioning of the economy.

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4.MITx: Machine Learning with Python: From Linear Models to Deep Learning

Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk.

As a discipline, machine learning tries to design and understand computer programs that learn from experience for prediction or control.

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5.MITx: Introduction to Biology – The Secret of Life

Read fully to understand the verified certificate option. Join Professor Eric Lander and the MITx Biology team in an exciting learning experience available for free to all enrolled learners. The 7.00x Introductory Biology course materials are available for exploration and completion by registering as an auditor or verified-track learner, including video, interactive problem sets, and exams. We strongly encourage you to work through the activities, towards a goal of learning biology.

We have optimized the course settings for learning: instant feedback after trying problems and all content available at all times for self-paced progress. You receive feedback on correctness of answers, but the problem submissions do not count toward the grade for a certificate. Instead, we offer a thorough and robust means of certifying edX learners in their mastery of the MITx introductory biology content, through a the MITx 7.00x Introduction to Biology Competency Exam.

This challenging option is available only to those who register for the verified-certificate track, and successful completion of this exam is the only assessment that counts toward a certificate. We highly recommend preparing for the Competency Exam certification by using the current course materials and MIT OpenCourseWare problems. The Competency Exam is offered in the last week of every course run

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6.MITx: Understanding the World Through Data

Speech recognition, drones, and self-driving cars – things that once seemed like pure science fiction – are now widely available technologies and just a few examples of how humans have taught machines to analyze data and make decisions. In this hands-on, introductory course, you will examine all the forms in which data exists, learn tools that uncover relationships between data, and leverage basic algorithms to understand the world from a new perspective.

Whether you’re a high school student or someone switching careers, all you need to get started in this course is a curiosity about the topic of machine learning and a willingness to tinker around with your computer.

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7.MITx: Computational Thinking for Modeling and Simulation

Computational thinking is becoming widely recognized as a skill necessary for every educated person in a technologically advanced society. 

We will focus on just a subset of computational thinking which concerns creating models of the physical world – something that engineers frequently need to do.  Because of that choice, this course covers many topics normally viewed as within the domain of mathematics such as algebra and calculus, but the solution procedures are algorithmic rather than symbolic.

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