H1PythonAdvanced
COVID-19 Data Analysis
Your first capstone is a time-series epidemiology analysis. You'll take daily case and death counts across several countries and turn raw, noisy numbers into a clear story: how fast did the virus spread, when did each country peak, how do fair comparisons work across populations of different sizes, and how deadly was it?
Notebook
Enrol to read the notebook and download it to run.
What this module covers
Your first capstone is a time-series epidemiology analysis. You'll take daily case and death counts across several countries and turn raw, noisy numbers into a clear story: how fast did the virus spread, when did each country peak, how do fair comparisons work across populations of different sizes, and how deadly was it?
By the end of it
- How did daily cases evolve over time in each country, once we smooth out reporting noise?
- When did each country peak, and how tall was the peak?
- How do countries compare per capita (the only fair basis)?
- What was the case fatality ratio (CFR), and how did it change?
- How fast was exponential growth early on (doubling time)?