Details and summary

This area equips us with the statistical tools necessary to tackle complex challenges in data analysis. We learn techniques such as regularization, cross-validation, and causal inference to build more accurate and robust models. This will allow you to make more informed decisions in various fields, such as public policy and market research. Furthermore, by learning how to handle overfitting and select the relevant variables, economists can build more efficient predictive models, improve the accuracy of their estimates, and offer more reliable evidence-based recommendations.