Big Data is everywhere, no matter what you do – from humanities to natural sciences, from social sciences to engineering to medicine. Yet, data on its own, no matter how “Big”, is of little use. Distilling Big Data into actionable, useful information requires a range of tools from mathematics, statistics and computer science, which might appear intimidating when approached for the first time. In these talks, we will introduce the key concepts and ideas which underlie modern analysis of large and complex data sets, in a maths-free manner. Image courtesy of François Quévillon from Flickr Creative Commons