In this project, you’ll take on the role of a data analyst exploring the global COVID-19 pandemic. You’ll work with a real-world dataset, applying your R programming skills and leveraging powerful libraries like dplyr to manipulate, filter and aggregate the data.
Through techniques like grouping and summarizing, you’ll identify which countries have the highest rates of positive COVID-19 tests relative to their testing. In the process, you’ll strengthen your R coding and analytical thinking skills, building capabilities that are highly valued in data science roles.
Objective: Analyze a real COVID-19 dataset using R data wrangling techniques to uncover insights about testing and positive rates across countries, developing in-demand data analysis skills for your career.
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.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
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Practice analyzing survey data in Python to uncover insights about data science careers and skills.
