Projects / Local Chapter Challenge

Analyzing Open Data About Los Angeles Metropolitan Area

Challenge Started!


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This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.

You will work on solving a local problem, initiated by the Los Angeles, USA Chapter.

The problem

Collect, organize, and analyze different datasets directly about or related to Los Angeles.

The results should serve as a starting point for anyone searching for datasets about Los Angeles. Providing dataset sources, visualizations, and reports that potentially use multiple datasets to tell a story with data. The results should also create a new dataset for Los Angeles and encourage the creation of more datasets by the community.

The goals

  • Create a comprehensive index of open datasets about Los Angeles.
  • Integrate, analyze, and visualize diverse open datasets about Los Angeles.
  • Create a new dataset related to Los Angeles.
  • Host results on a website.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work

First Omdena Local Chapter Challenge?

Beginner-friendly, but also welcomes experts

Education-focused

Open-source

Duration: 4 to 8 weeks



Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations



Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset



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