[craigching]

You summed up pretty well how I feel about the first three to four (I've taken the first three and am now taking "Exploratory Data Analysis").

The ease with which I'm going through it is due to my 20+ years of programming in multiple languages, so I've pretty much seen it all. I'm also assuming that these classes are intended for more statistics oriented people who may not have a ton of programming experience. Maybe both of course with the later classes appearing to be a little more stats oriented.

It is easy for me, but I am learning a lot too, not sure I would have dedicated myself to learning R if I didn't have these classes or if I didn't have something in my job that needed it.

The projects are actually fun if you allow yourself enough time to make them into something more than they are. The "Getting And Cleaning Data" class had a little bit of leeway in the project for doing things your way as long as you documented why you did them.

Anyway, I took it signature track as well and am having fun, so it's definitely worth it to me. I'm really looking forward to the "Statistical Inference" and "Practical Machine Learning" courses to help spring me into more AI and Machine Learning topics.