Topological Data Analysis stemmed from the idea that data has shape and that this shape is meaningful. It covers a wide range of topological and geometrical tools designed to understand and quantify this shape.
In the age of big data, which saw an explosion in the size and complexity of data, this is particularly interesting as it offers unique approaches to extract relevant information, where more standard analysis may fail.
In this talk, we will review the fundamentals of Topological Data Analysis and explore the scope of its potential using examples of its usage in medicine, nanoscience and up to the cosmological scale.