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Hastie and Tibshirani teach a free course based on this book on Stanford's OpenEdX (https://online.stanford.edu/courses/sohs-ystatslearning-stat...). I highly recommend taking this course or reading the book before delving into ESL. IMO, ESL is excellent as a reference, but trying to learn by reading it linearly is not an optimal time investment.

Now if only a similar course existed for Wasserman's "All of Statistics..."

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There's a Youtube playlist[1] of recorded lecture videos by Wasserman from his CMU course that uses All of Statistics as a textbook.

I haven't watched more than a couple of mins of them (yet), so no idea how good they are (but the blackboard is quite hard to see in the recordings). However, it obviously doesn't have all the extra stuff that you would get in a proper MOOC.

[1] https://www.youtube.com/playlist?list=PLJPW8OTey_OZk6K_9QLpg...

If I’m not mistaken, Wasserman’s lectures are on YouTube under “Intermediate Statistics Larry Wasserman (CMU-36-705)“. You can find course notes and assignments for 36-700 and 36-705 on the web, which seem to use All of Statistics as the course textbook.

CMU has posted a lot of great statistics material beyond those two courses.

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