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.

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Prizes

4 non-cash prizes
Best Beginner
1 winner

$80 CAD/group

Most Effective Solution
1 winner

$80 CAD/group

Most Creative Solution
1 winner

$40 CAD/group

Best Presentation
1 winner

$40 CAD/group

Judges

Muniza Hashim

Muniza Hashim

Warren Ho Kin

Warren Ho Kin

Gwen Yang

Gwen Yang

Daniel Smith

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

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