CIC Student Working Group Data Visualization Project

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The COVID Information Commons (CIC) Student Working Group is excited to support this COVID-19 data analysis and visualization project!

With this exercise, you will embark on a data-driven journey to analyze and visualize COVID-19 data. This project will not only enhance your data analysis and visualization skills but also offer valuable insights into the ongoing pandemic. This project was designed with beginner to intermediate data science learners in mind. We recommend students to spend 5-8 hours on each Milestone (each student can spend more or less time depending on their interest and level of experience).

Key Highlights: you'll gain hands-on experience in data cleaning, exploration, and preparation; we'll delve into time series analysis, geospatial mapping, and advanced data visualization techniques; and you will develop: a COVID-19 research question, a comprehensive set of visualizations, and a written description of the insights you found in the given dataset.

Data visualization is an essential skill for all STEM researchers and students - this is an opportunity for you to learn this skill in a friendly and supportive environment!

To get started, please complete this form and you will receive an email with the project steps attached. When your project is complete, email your final work to Lauren Close at CICStudentWorkingGroup@columbia.edu. Participants who finish this project will receive a certificate of completion. Please reach out to our team at any time for support and questions!

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Which of the following best reflects your current status?
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Undergraduate/Community College Student

Graduate Student

Recent Graduate from an Undergraduate/Community College Program

Recent Graduate from a Graduate Program

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I'd like to participate individually.

I'd like to participate with a team of my own (2-4 individuals).

If you would like to apply with a team of your own, please provide the other members' names and email addresses below (up to 3 additional members). Otherwise, please skip this question.

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