Not long ago, I was interviewed for the Data Science Phil podcast. I had prepared excitedly with three subjects for discussion: the German tank problem, capture-mark-recapture, and the Fermi problem. These are methods to estimate population sizes from very scarce data. They can be used in diverse settings, including business intelligence.
Data Science Phil is Philipp Packmohr‘s alias for his podcast. In it, he covers subjects from data analysis, mathematical modelling and statistics. He interviews students and professors, and asks them to talk about their projects and areas of expertise.