Statistical Data Analysis, using Python libraries NumPy, pandas, and Matplotlib:
Questioning (looking at relationships between multiple variables),
wrangling (data cleaning),
exploring,
analyzing (in-depth statistical analysis such as calculating trends and variation),
communicating and visualizing data in clean and organized reports.