Zigzag Persistence is an extension of persistent homology that allows for the analysis of data with changing topology, capturing topological features that appear and disappear as the data evolves. It is particularly useful for studying dynamic systems and datasets where the underlying structure is not static, providing a more flexible tool for understanding complex data shapes over time.