This is a session of Topic 4: Statistics education at the post-secondary level

Opening up the data world wider and faster

Organizer

• Jennifer Kaplan (United States) : Session chair

Abstract

There is a rapidly increasing awareness of the so-called “data deluge”: the explosion in quantities of data being collected, the explosion of settings in which it is being collected, and expansions in the conceptions and scope of what constitutes data. This is accompanied by advances in ways of visualising data and accessible data-visualisation tools. Consequently, it is imperative to find ways to get students much further into the world of data, much faster. This session will address ideas about how to do this and experience with applying these ideas in practice. It will cover a range of topics including: what students need from an Introductory Statistics course in this big data age, how purpose-designed software might facilitate faster progress, and innovative practices for really stretching students such as the UCLA Data Fest, a 48 hour undergraduate “hackathon” focussed on analyzing a large and complex data set.

Papers