Adv Fincl Modeling in Python

0 or 1.5 Credits · Level: Graduate

Finance professionals can elevate their modeling skills to drive strategic decision-making in dynamic markets. This course provides an overview of fundamental concepts and techniques for building predictive models in Python. After gaining an understanding of machine learning problem formulation and evaluation metrics, students will train predictive models, focusing on regression for time-series forecasting. Throughout the course, students will be immersed in hands-on Python programming exercises and should emerge with marketable technology skills. Applied Data Science for Finance in Python—or a course the professor judges to be comparable—is a prerequisite for this course.