DS and ML study - my collection

Working with Data Science and Machine Learning requires continuous education. Usually when I start on reading new paper or just google for some question I stumble apon a good course or a book or a resource, which I read fast to grasp the concept and bookmark to come back later.
*sometimes I even DO come back later :)
Today I just happen to organise my bookmarks, and than decided to share resources I prefer for online education - most of them offer free education, at least in audit mode.
NB! Order is arbitrary, and shows no preferences

edX - https://courses.edx.org
Very popular with a lot of content. Mostly free, and one can buy certificate upon course completion.

Cousera - https://www.coursera.org/
Another very popular. Unfortunately, some courses do not give access to practical excersizes unless paid.

LinkedIn - https://www.linkedin.com/learning
Some interesting content there. Still kind of new, so I am trying in out now.

Microsoft Virtual Academy - https://mva.microsoft.com/
A lot of free content regarding Microsoft technologies. The quality is also excellent.

Microsoft AI School - https://aischool.microsoft.com/
Somewhat similar to previous but with applied filter to AI stuff.

Pluralsights - https://app.pluralsight.com/library/
The really good ones are not free. But maybe your work could pay for access?

Udacity - https://classroom.udacity.com/
Another famous resource. Lectures are interactive and playfull.

DataCamp - https://www.datacamp.com/community/open-courses/
I find cources here very simple and interactive. Sometimes it is useful to repeat basics.

Yandex Data School - https://yandexdataschool.ru/edu-process/courses (this one is on russian)
This one gives good insights witht more mathematics and underlying theory compared to other ML courses. If you speak russian - absolutely reccomended and truly enjoyable. Russians love math, don't we? :)

Youtube - https://www.youtube.com/
Lot's of recordings of lectures and courses from most famous teachers and universities. No homework, but excellent for boosting theoretical understanding.