Level UP-Analyzing factors impacting COVID-19 vaccination rates

Closed
Project
Academic experience
120 hours per learner
Learner
Edmonton, Alberta, Canada
Intermediate level

Project scope

Categories
Data visualization Data analysis Databases
Skills
rstudio data warehousing decision tree learning
Details

positions available: 3

This analysis used COVID-19 vaccination data, and country indicators from the World Bank to

1. Determine indicators that are associated with vaccination rate

2. Create indices to measure the Vaccine Utilization and Vaccination Motivation per country

3. Apply Decision trees and Pearson correlations to determine relationships with country indicators and these indices

Deliverables

- Collecting, cleaning and transforming data from World in Data, the Multilateral Leaders Task Force on COVID-19 and World Bank data warehouse

- Use RStudio to create an application to apply Decision trees and Pearson correlations.

Mentorship

The student will work under the supervision of Dr. Mohamad El-Hajj.

About the company

Company
Edmonton, Alberta, Canada
0 - 1 employees
Education

The Department of Mathematics and Statistics provides a vibrant and supportive home base for students who want to study mathematics and statistics. Our growing department is home to excellent scholars and has a deep commitment to student success, whether taking math as a requirement or as a pursuit of passion. Our faculty members are dedicated to providing an education that emphasizes the knowledge and broad analytical skills that are valuable in today’s world.

Beyond the classroom, our department organizes Torus Talks, a regular presentation series where faculty and students share insights into the uses and versatility of mathematics and statistics, and a Math Help Centre, where students can access additional support in mastering their course work.