About

The University of Toronto Data Science Student Challenge is designed to ignite a passion for the amazing things made possible by Data Science and to help students develop the skills necessary to harness the power of analytics.

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 students 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. 
 

WHEN AND WHERE

Saturday March 3rd
Start: 9:30am
Sunday March 4th
End: 2pm
University of Toronto

Department of Computer Science Innovation Lab (DCSIL)

Media Gallery

LEARNING RESOURCES

To help you develop a deeper understanding of the tools techniques and processes involved in Data Science, we’ve put together a collection of resources and videos.

Tutorial One


Tutorial Two


Tutorial Three


Tutorial Four


Github Resource


Schedule

Saturday 3rd March:

9:30am
Hackathon Check-Ins Open
Bahen Centre

10:00am

Keynote and Technical Bootcamp Presentations

12:30pm

Lunch and Team Formation
DCSIL

2pm

Hacking Begins!
With Microsoft, UoT and Geotab present to help you get started on your solution.

10pm

End of Day 1

Sunday 4th March:

10:00am
Hackathon Day 2
Final Hacking and Mentoring Session

11:30am:

Science Fair Judging
Each team has 2 minutes to pitch their solutions to Judges

12:30pm:

Top-6 Teams progress to Finals Presentation, with 5-minutes to present.
Winner Announcement to follow.