Basic statistical data analysis including data wrangling, exploring data with visuals, drawing Conclusions and communicating Results; all of these offered with a professional awareness of checking out the dataset for cleaning (solving quality issues) using pandas and NumPy, figuring out the most influential variable, and using matplotlib and seaborn to plot visualization.