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Ask HN: Holy grails of free, online courses?

news.ycombinator.com

1–10 of 19 posts

Re: Ask HN: Holy grails of free, online courses?

#5
There's cs61a:

https://cs61a.org/

(I'm doing the Denero version: https://cs61a.org/denero.html) If you pass the command-line flag: `--local` you can run the tests without triggering the submission system.

accompanying book:

https://www.composingprograms.com/

The moocs from University of Helsinki are really good. Here's the current Python one:

https://programming-23.mooc.fi/

And there's their web dev course, called Full Stack Open:

https://fullstackopen.com/en/

If learning web dev, you can't go wrong with The Odin Project:

https://www.theodinproject.com/

Re: Ask HN: Holy grails of free, online courses?

#7
Hastie and Tibshirani's class on Statistical Learning is a must for someone that wants to learn about ML. All of the classes are available here (https://www.youtube.com/playlist?list=PLoROMvodv4rOzrYsAxzQy...) and the book recently got a Python version to complement the original R classes.

https://www.statlearning.com/

Re: Ask HN: Holy grails of free, online courses?

#8
post #6

Dan Grossman’s Programming Language series on Coursera is one of the best courses I’ve taken at any level of education For guitarists, Paul Davids’ courses through his website are excellent

Is that the one that uses Standard ML?

Yep for part A. B and C use Ruby and Scheme I think

Re: Ask HN: Holy grails of free, online courses?

#9
Here are some past Ask HN threads worth mentioning:

1. "Best Lecture Series": https://news.ycombinator.com/item?id=34591291

2. "Top Coursera Courses": https://news.ycombinator.com/item?id=25245125

3. "Best MOOCs": https://news.ycombinator.com/item?id=16745042

4. "Coursera Courses": https://news.ycombinator.com/item?id=22826722

There are some great recommendations and some of them are among the best MOOCs that I have ever taken.

Re: Ask HN: Holy grails of free, online courses?

#10
Very fun watching this guy chat about probability.

Statistics 110 Probability: https://projects.iq.harvard.edu/stat110/youtube

And this guy (Erik Demaine) is an absolute gem for introductory algorithms.

Introduction to Algorithms: https://ocw.mit.edu/courses/6-006-introduction-to-algorithms...

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