https://at-ceu.studyguide.timeedit.net/modules/ECBS5306?type=COREContent. This course builds on Coding 1 by introducing students to regression analysis and data transformation techniques using Python. Through interactive lectures where we go through notebooks of demonstrations, tests and examples. Students will learn to prepare data for modeling, build and evaluate regression models (including binary and time series models. Students will also apply what they learned to real datasets, which is a great introduction for more advanced modeling and empirical work. Relevance. Regression analysis is one of the foundational tools in both social science research and industry applications. It is simple, yet remarkably powerful. This simplicity allows us to leverage and scale it to uncover relationships, make predictions, and quantify effects. Mastering the basics equips students to engage critically with empirical evidence in a world where data is often described as the new oil-though, unlike oil, it is neither scarce nor inherently unsustainable.