Multiple Correspondence Analysis (MCA) was popularized in Social Sciences by Pierre Bourdieu and his followers. The technique was privileged by them since it allows representing the social space relationally, while creating, in Cartesian planes, clouds in which agents are positioned relative to each other according to their social properties; and clouds of social properties in which categories appear closer and more frequently when associated with the same agents. Thus, the representation created by the MCA allows detecting the structure of polarizations of social spaces, which helps understanding the resulting social dynamics. The goal of this article is to present fundaments, basic elements and procedures to elaborate MCAs. Thereby, we intend to subsidize the reading of studies that use MCAs and, perhaps, to help researchers intending to use the technique in their work.