A showcase of Data Analysis in Python and R: A case study using COVID-19 data

In all fields of research we are being confronted with a deluge of data; data that needs cleaning and transformation to be used in further analysis. This webinar demonstrates the effective use of programming tools for an initial analysis of COVID-19 datasets, with examples using both R and Python.

You'll learn:

• Cleaning up a dataset for analysis
• Using Jupyter lab for interactive analysis
• Making the most of the tidyverse (R) and pandas (python)
• Simple data visualisation using ggplot (R) and seaborn (python)
• Best practices for readable code

Prerequisites:

The webinar has no prerequisites.

For more information, please click here.