With the emergence of distance-based approaches and persistent topology, geometric inference and computational topology have recently undergone significant developments. New mathematically well-founded theories have given birth to the field of topological data analysis, whose aim is to infer
relevant, qualitative and quantitative topological structures directly from the data. This talk is an introduction to topological data analysis methods. In particular I will explain how statistical methods can be proposed for topological data analysis.