Data Science Hackathon
COM SCI 703
READ MORE ABOUT THIS COURSE
Put your data science skills to the test with other aspiring data scientists. Join us for our virtual Data Science Hackathon!
About this course:
For those who register, you and your team will collaborate to define a problem and uncover a hidden need in the marketplace associated with the hackathon theme. Using publicly available secondary data, you’ll model and deploy your solution, pushing your limits and creativity in a limited timeframe.
Project Theme: Solutions/data to enable working remotely
Register your team by August 29
Form a team of 2 to 5 data science enthusiasts. If you do not have a team and would like us to place you on a team, email us at email@example.com.
The project can be done using any programming language.
Submit your video presentation and project (code) by September 8
Record and upload your video presentation (Max 10 minutes): Tell us about your project, how you came up with the idea, describe any challenges you came across in the process, highlight any interesting conclusions you came to, and how this information could be helpful and applicable in the real world.
Upload your video submission to Canvas, our online learning platform, which you will have access to upon registering. If you have any questions about this process, email us at firstname.lastname@example.org.
Hackathon Judges will review your video presentation and code, and evaluate your project based on the proposed idea/business solution, implementation, visualization, and presentation.
Winners will be announced the week of September 20, 2020.
- One 1st Place: Free course and Participation Award
Each team member will receive one (1) free UCLA Extension Digital Technology 4-unit course.
- One 2nd Place: Participation Award
- One 3rd Place: Participation Award
- Two 4th Place: Participation Award
- All participants will receive a Record of Participation
Digital Technology at UCLA Extension
Technology moves fast. Fortunately, so do we.
From applications programming, and systems analysis, to data science and coding—acquire the skills you need to keep today’s systems running smoothly, as well as develop what’s next.