[galuvian]

Same here. The first three were a good start. It was a little annoying that there is zero feedback on the peer assessments other than the grade. The third class starts off slow but by he last week is at about the same level as the R Programming course. My biggest complaint ( which applies to all of these courses) is that the lectures are just narrated PowerPoint presentations. Are all moocs like that? I'm not expecting polished videos at the same level as Kahn Academy but these lectures are just a small step up from fading the slides myself.

Now I'm taking the next three. They are a good continuation that picks up where the first three left off. I was looking forward to the Statstical Inference class. It has been almost 10 years since I took intro to stats in college. For someone without any stats background this course will really step up the difficulty. I was even more disappointed with the lectures on the stats cours. The yellow highlighting as he reads each line on the slide is extremely distracting. But the content is exactly what I was hoping for.

I've done a little hacking with R for data heavy analysis at work when excel couldn't handle the data. I'm really glad to be taking advantage of this opportunity to get more experience with it in these course. My day job is implementing the 'production' side of this kind of data processing with java and hadoop in the healthcare space. Hopefully this specialization will help me better communicate with our clinical/science teams.