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In this project, you’ll assume the role of a data scientist tasked with analyzing a COVID-19 dataset containing daily and cumulative numbers of tests, cases, recoveries and deaths by country. Your goal is to identify which countries were most affected by the pandemic and quantify their testing efforts.
You’ll apply your skills in data manipulation using dplyr and data visualization with ggplot2 in R. Techniques you’ll employ include filtering data, aggregating daily to cumulative numbers, and scaling statistics to population level. This comprehensive real-world project will solidify your data analysis skills and provide you with a structured workflow to tackle similar problems.
Objective: Analyze COVID-19 data using R to identify countries most affected and quantify testing efforts on a population level.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Share the evidence of your hard work with your network and potential employers.
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.
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