1. There is a file rank.tsv (334 kb) that displays for every course on an hourly basis the rankings
2. There is a file vote.tsv (113 kb) that contains for every course on an hourly basis (between may 20th and today) the number of votes the course did acquire. The period of time for vote.tsv is so short since the votes have only been available in the html files during this time. 

Skimming the data with my eyes there are already some facts that make me very curious for a deeper data analysis:

1. Some courses gained several hundred votes within a short period of time (usually only 2 or 3 hours) whereas most courses (especially those gaining such a large amount of votes) often stayed far under 1000 votes at all. 
2. Also it is interesting to see how much variation has been going on in the last couple of days. 
3. Also I haven’t crawled the views of the Youtube videos of the courses and even now after observing the following I did not take a snapshot of them it is interesting that there is such a large difference in conversion rate. Especially the top courses seem to have much more votes than they have views of the application video. Where some really high class and outstanding applications like the ones from Chrstian Spannagel (Math) or  Oliver Vornberger (Algorithms and data structures) have two or three times as many views on Youtube as votes. Especially they have about the same amount of views on Youtube as the top voted courses.

I am pretty sure there are some more interesting facts and maybe someone else has collected a better data set over the complete periode of time and including Youtube snapshots as well as Facebook and Twitter mentions.
Since I have been asked several times already: here are the final rankings to download and also as a table in the blog post: