● Wrangling data programmatically using Python to create an analytical dataset and prepare it for analysis.
● Applying inferential statistics and probability, such as analyzing A/B tests
and building learning models.
● Applying visualization principles to the data analysis process. Exploring data visually at multiple levels to find insights and create a compelling story.