FIN 464P - Financial Data Analytics and Machine Learning Tools

3 credit(s) High-Impact Practice: Collaborative Assignment or Project
Through the introduction of a variety of practical commonly used quantitative models and their building blocks, and utilizing programming tools such as Python, R as well as machine learning tools, this course covers the key ideas and processes of quantitative modeling to predict financial outcomes and investments’ value and make data-driven business decisions.
Prerequisite(s): QNT 430 and QNT 450.

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