Most Recent Review
After finishing MIT 6.00.1x on EdX (click here for my review of that class ) I jumped straight to MIT 6.00.2x: Introduction to Computational Thinking and Data Science. Overall, Im happy I took the class and learned a lot from it, but there are several things I think it could improve on. Please note that this course is fully accessible: you can get your codes for all the problem sets and exams graded for free; you only have to pay if you want to obtain a verified certificate after passing the course
- Review by Khanh Nguyen
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Instructor Bio
Professor Guttag is the Dugald C. Jackson Professor of Computer Science and Electrical Engineering at MIT. He leads the Computer Science and Artificial Intelligence Laboratory's Data Driven Medical Research Group. The group works on the application of advanced computational techniques to medicine. Current projects include prediction of adverse medical events, prediction of patient-specific response to therapies, non-invasive monitoring and diagnostic tools, and tele-medicine. He has also done research, published, and lectured in the areas of data networking, sports analytics, software defined radios, software engineering, and mechanical theorem proving.
John Guttag Courses
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Introduction to Computer Science and Programming Using Python (2013)
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(16 Reviews)
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- Provider: edX
- Time: 10h
Free
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Introduction to Computational Thinking and Data Science (2015)
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(12 Reviews)
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- Provider: edX
- Time: 9 Weeks - 2-4 hours per week
Free
John Guttag's Core Subjects
- python
- introduction to computer science