In this third and final course of the "Expressway to Data Science: R Programming and Tidyverse" specialization you will reinforce and display your R and tidyverse skills by completing an analysis of COVID-19 data! Here is a chance to apply your skills to a real-world dataset that has effected all of us.
Throughout the capstone, you will import COVID-19 data; clean, tidy, and join datasets; and develop visualizations. You will also provide some analysis and interpretation to your results, preparing you for your journey into data science. By the end of the course, you will have developed a report that you can add to or use to begin a data science portfolio.
The course logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop.
Overview
Syllabus
- COVID-19 Data Analysis: Getting Started
- This week, you will be introduced to the capstone project, and complete Part 1 of the project. In Part 1, you will import COVID-19 data provided by the New York Times to analyze how COVID-19 impacted the United States through case and death statistics.
- COVID-19 Data Analysis: US State Comparison
- Last week, you analyzed the number of cases and deaths throughout the United States. This week, you will turn your attention to specific states of your choice to understand how case and deaths rates differed state by state.
- COVID-19 Data Analysis: Worldwide Data
- COVID-19 was a global pandemic and during this final week you will import global COVID-19 data from Johns Hopkins University to investigate COVID-19 cases and deaths in other countries.
Taught by
Jane Wall
