In part two, we learn about how secondary school learning management system data can be leveraged to create a drop out early warning system. Dan Jarratt walks us through the process used to find a data signal in a dataset of 8 million students using machine learning and what they learned about drop outs. He explains how commitment to understanding people and relationship building are the real key ingredient to the effectiveness of any data project. Oh, and we used data science help optimize your cocktails.
