This is an introductory course on topological data analysis, with a focus on persistent homology.
Introduction to Applied Algebraic Topology by Tom Needham
A roadmap for computing persistent homology by Nina Otter, Mason A Porter, Ulrike Tillmann, Peter Grindrod, and Heather A Harrington
Topological pattern recognition for point cloud data by Gunnar Carlsson
Introduction to Persistent Homology by Žiga Virk
1. Linear Algebra
Abstract Vector Spaces
Basis and Dimension
Linear Transformations and Matrix Representations
Subspaces and Quotient spaces
2. Topology
Metric Spaces and Topological Spaces
Continuous Functions and Homeomorphisms
3. Simplicial Complexes and Homology
Geometric and Abstract Simplicial Complexes
4. Persistent Homology