Topology for Data Scientists: Persistent Homology and the Geometry of Data

In this Post, we share the table of contents and a few excerpts from the fifth chapter of the lecture notes of a medium-barrier, high-relevance corporate training we developed for an internationally active company. The program was built around four methodological pillars. The first: The goal is to make participants job-ready, able to collaborate across […]

This open report introduces the core concepts of Homology Theory and its modern extension through Topological Data Analysis (TDA), with a focus on Persistent Homology. These mathematical frameworks uncover hidden topological structures within complex datasets—structures often overlooked by traditional methods. Viewing tips: Click the collapsible menu button ☰|      (top-left) to toggle the sidebar. Click […]

In this Post, we share the table of contents and a few excerpts from the sixth chapter of the lecture notes of a medium-barrier, high-relevance corporate training we developed for an internationally active company. The program was built around four methodological pillars. The third: A key distinction is that all our trainings are meticulously co-designed […]