The hackathon sees teams of 3-4 students coming together to analyse and interpret unique datasets from Geotab around Location Analysis and Urban Infrastructure. The data is derived from over 2 billion daily records and over 930,000 Geotab-equipped vehicles. The Challenges designed for the hackathon will enable the development of data-driven solutions that will ultimately improve the safety of drivers and the productivity of businesses in a city.
It’s a great opportunity for undergraduate and graduate students at UofT to build their individual skills, meet other top students, learn how to operate as a team, have fun and win great prizes. A variety of learning resources will be made available and the hackathon will suit students with a background in Computer Science, Data Science, Engineering, Statistics, Analytics and Math.
The University of Toronto Data Science Student Challenge is a collaboration between The University of Toronto’s Department of Statistical Sciences, and Department of Computer Science Innovation Lab, Microsoft, and Geotab.
Entry is free! Register now at the official event page.