  These Lecture Notes are devoted to an introductory description of some of the
most widely applied statistical methods for the analysis of the Large-Scale
Structure (LSS) of the Universe. Rather than providing technical details about
the implementation of such methods, I concentrate more on their significance
and on the statistical information they provide in the comparison between data
and LSS formation models. I introduce the concept of correlation functions and
their connection with the count-in-cell statistics of a point distribution.
Also some geometrical descriptions of the LSS, like the void probability
function and the topological genus characteristics, are briefly reviewed.
