Predictive Analytics

Catalog description

Applications of concepts from probability and statistics to draw inferences from data. Covers advanced regression analysis including non-parametric approaches. Introduction to time series and panel techniques for predicting future data. Additional topics may include Bayesian modeling, causal inference, A/B testing, and experimental design. Considers which of competing approaches will generate the most useful estimates for business decision-making. Uses major statistical software.