Data Jam is a student-focused data science hackathon where participants turn unstructured data into meaningful insights.Teams will investigate real-world information, use analytical methods, and present clear, data-driven conclusions throughout the event. This event pushes you to think critically, solve significant problems, and create engaging data stories, regardless of your level of expertise as a data explorer.
To examine their selected dataset, participants can utilize Python, R, Tableau, Power BI, Excel, or any other analytics platform.
Requirements
Teams must submit a presentation file that explains their data analysis and insights. The final submission should include a `.pptx` version of the presentation.
Prizes
Best Beginner
$80 CAD/group
Most Effective Solution
$80 CAD/group
Most Creative Solution
$40 CAD/group
Best Presentation
$40 CAD/group
Judges
Muniza Hashim
Warren Ho Kin
Gwen Yang
Daniel Smith
Judging Criteria
-
Analytical Depth - 2 points
Use of meaningful models or analysis (statistical or machine learning). -
Data Understanding & Exploration - 1 point
Clear grasp of dataset, context, and variables. -
Insight & Storytelling - 3 points
Ability to communicate findings clearly to non-technical audiences. -
Creativity & Innovation - 2 points
Original question framing, visualization, or methodology. -
Presentation Quality - 2 points
Clarity, structure, visuals, and time management.
Questions? Email the hackathon manager