[a] The course consists of two streams: lectures that cover (excerpts from) popular science books on examples, pros, and cons of data crunching (Freakonomics, Supercrunchers, …) and their scientific background. [b] A hands on part in which students "deal with data" in a larger scale project, in the spirit of the literature of part [a].