mkpetterson / Collisions_Data

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Analysis of Traffic Collision Data

These materials relate to the workshop for analyzing Seattle area traffic collision data.

We are excited to launch a data science project analyzing Seattle traffic collision data to help prioritize road improvements and prevent future collisions. This is an opportunity to work through a project with real world data from beginning to end in a small team with experienced data scientists.

To prepare for this project we are hosting a virtual workshop focused on time series analysis and forecasting with python at 6 p.m. on July 1st. Data science knowledge is not required, but prior experience with Jupyter notebooks and Python is important.

Workshop registration page

Data

The data being used in this workshop comes from the Seattle City GIS database. For more information, here is the link to the dataset on seattlecitygis.

Instructions to run this workshop

For an overview on how you can run this notebook visit the instructions file

Sponsor

This project and workshop are sponsored by the Data Circles organization.

Data Circles (formerly SeaWiDS) exists to provide a place for women in data science to connect, build community, support each other and grow. In less than two years Data Circles, has grown into a community with more than 1,800 members.

Teams of volunteers organize monthly events in the Greater Seattle area, including: technical talks, informational panels, career development workshops, hackathons, conferences, networking events, book clubs, mentoring, study sessions, and interview prep.

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