Tips for Excelling in a Data Science Hackathon

This guide offers essential strategies for succeeding in data science hackathons, focusing on solution demonstration, data science techniques application, and efficient presentation. It includes a concise checklist, a step-by-step approach to problem-solving, and an Idea Library with innovative tools like ChatGPT and Whisper for project development.

hackathon

Here is a downloadable Canva Document of the guide: [Data Science Hackathon Guide]

Solution Checklist:

  • Solve the challenge: How does your solution address the challenge?
  • Demo your application: Use Gradio, Power App, or a full-stack web app(best to start with a template).
  • Apply data science techniques: Employ regression/characteristic model or generative AI.
  • Efficient presentation: Use PowerPoint or Google Slides. Practice your presentation.

Problem-Solving Approach:

  • Review each challenge and associated dataset.
  • Analyse the dataset to identify data that can bolster your solution.
  • Draft user stories for your solution.
  • Define the Minimum Viable Product (MVP).
  • Finalise the features and establish the data flow.
  • Develop the model and application.
  • Deploy and conduct testing.
  • Prepare and deliver the presentation.

Idea Library with Innovative Tools:

  1. Co-pilot Type
  1. Dashboard Type