Analyzing Marketing Campaigns with SAS

This chapter dives into a project where a marketing campaign for a retail organization is analyzed using SAS. It covers the exploration of raw data, handling missing values, running different models, and selecting the most profitable multivariate regression model. The speaker shares experiences with model comparison, ROC curve analysis, model optimization, and the significance of data science and machine learning skills for future career opportunities.