edX MIT 6.00.2x Introduction to Computational Thinking and Data Science

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python
Published

October 20, 2020

MIT courses at edX

Last summer I have been following a 1st MIT course on python programming. Not that I would need this knowledge but as for Polytechnique courses, I like their way to explain knowledge foundations. Teachers from these schools tend to go back to deep roots, and provide clear and somtimes illuminating examples to help us understand concepts.

About 6 years ago I have completed a Probability introduction from Ecole Polythechnique. That was great. I had always been hermeticly closed to probability and statistics. For a reason I don’t understand, it is not being teached in CPGE (which is a two-or-three-year intensive full-time course preparing top high school graduates for the entrance examination of French engineering and business schools, this is just after high school). It means last time I was exposed to probability was in high school, and probably in engineering school as well but on a light way.

That would be great to give back a look to these courses.

MIT 6.00.1x - Introduction to Computer Science and Programming Using Python

Unfortunately I registered in September when only a couple of weeks were left to complete this 9-week course. And because I didn’t upgrade to a Verified Certificate, I lost access to materials and progress. It cut when my progress was about 38%.

I like Eric Grimson’s style. He is calm and has his own way to explain some advanced subjects.

Next session is planned on Jan 27, 2021. That would be a good idea to complete this course.

MIT 6.00.2x - Introduction to Computational Thinking and Data Science

For this one I have registered on time. And I have purchased the Verified Certificate.

Here is the full course program and dates:

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1st lectures are interesting. As said before I like to be back to roots of problems. And on that matter I expect to get a full overview.

Lecture 4 should be released in the coming at the end of October. cannot wait to resume these sessions.

As a matter of comparaison with gan specialization from coursera+openAI, I like better the interactions with students offered by openAI. They use slack as a platform to support these interactions and I think it is a smart move.