5 courses from MITx ranked among Class Central’s “Most Popular of All Time” 2023 list
Class Central, a resource for curating and rating online courses, has recognized five MITx courses in a new type of ranking: the Most Popular Online Courses of All Time. In this article, they compiled the 250 most popular online courses based on course enrollments.
Class Central publishes different course rankings, including the best online courses of all time, which is based on the tens of thousands of reviews written by Class Central users.
Learn directly from the MIT faculty who teach these popular courses on MIT campus!
Introduction to Computer Science and Programming Using Python
An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.
Taught by:
- John Guttag — Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT
- Eric Grimson — Vice President for MIT Open Learning; Chancellor for Academic Advancement at MIT; Professor of Computer Science; Bernard M. Gordon Professor of Medical Engineering
- Ana Bell — Senior Lecturer, Electrical Engineering and Computer Science at MIT; MITx Digital Learning Scientist, Electrical Engineering and Computer Science
A version of this course is also available on MIT OpenCourseWare.
Probability: The Science of Uncertainty and Data
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference. Part of the MITx MicroMasters Program in Statistics and Data Science.
Taught by:
- John Tsitsiklis — Clarence J. LeBel Professor in Electrical Engineering and Computer Science at MIT
- Patrick Jaillet — Dugald C. Jackson Professor, Electrical Engineering and Computer Science at MIT; Professor of Civil and Environmental Engineering at MIT; Codirector of the MIT Operations Research Center at MIT Sloan
- Dimitris Bertsimas — Boeing Leaders for Global Operations Professor of Management at MIT; Professor of Operations Research at MIT; Associate Dean for Business Analytics at MIT
- Karene Chu—Assistant Director of Education for MITx MicroMasters Program in Statistics and Data Science; MITx Digital Learning Scientist, Statistics & Data Science
A version of this course is also available on MIT OpenCourseWare.
Supply Chain Fundamentals
Learn fundamental concepts for logistics and supply chain management from both analytical and practical perspectives. Part of the MITx MicroMasters Credential in Supply Chain Management.
Taught by:
- Chris Caplice — Senior Research Scientist at MIT; Executive Director, MIT Center for Transportation & Logistics; Director, MITx MicroMasters Program in Supply Chain Management
Introduction to Biology — The Secret of Life
Explore the secret of life through the basics of biochemistry, genetics, molecular biology, recombinant DNA, genomics and rational medicine.
Taught by:
- Eric S. Lander — Founding Director Emeritus of the Broad Institute; Professor of Biology at MIT
- Graham Walker — Howard Hughes Medical Institute Professor at MIT; American Cancer Society Professor of Biology at MIT
- Mary Ellen Wiltrout — Director of Blended and Online Initiatives; Lecturer, Department of Biology at MIT; MITx Digital Learning Lab Scientist, Biology
Machine Learning with Python: from Linear Models to Deep Learning
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Part of the MITx MicroMasters program in Statistics and Data Science.
Taught by:
- Regina Barzilay — School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science at MIT
- Tommi Jaakkola — Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society at MIT
- Karene Chu — Assistant Director of Education for MITx MicroMasters Program in Statistics and Data Science; MITx Digital Learning Scientist, Statistics & Data Science
