Skip to Main Content
Purdue University Purdue Logo Purdue Libraries

Using Health and Social Data to Predict Student Success: A Data Competition

This guide contains tips, tutorials, and information for participants competing in a datathon, or data competition, that examines student health and social data to predict student success.

Datathon Expectations

A good datathon project should:

  • be clearly articulated. Have a clear research question or problem you are trying to solve, plus have a reasonably specific proposed solution.
  • be attainable. Consider time limitations and manage your project goals so that you are able to submit a completed project by the project deadline.
  • visualize stakeholders. Consider the audience you expect to use your application of visualization.   


Step 1. Explore the dataset.

Step 2: Review the tutorials available on this guide.

Step 2: Craft a research question. i.e. What is the correlation between student drinking and grades?

Step 3. Analyze the available data to help answer your research question.

Step 5. Represent your findings with data visualizations.

Step 6: Create a 5-minute video presentation to share your research questions, analytical methods, visualization, and findings.