Incorporating ChatGPT into a Financial Data Science Course with Python Programming

Abstract

ChatGPT’s artificial intelligence (AI) has generated considerable debate and even panic in higher education. However, AI is an unavoidable trend in education that has the potential to subvert many courses’ pedagogical structure and methods. One such course is financial data science with Python programming, a course that is in high demand among finance majors. Incorporating ChatGPT into such a course can solve long-standing challenges and difficulties that instructors and students are facing, and it can shift the focus of the course from tedious Python coding back to financial data interpretations and real-world applications. This paper represents a first attempt at welcoming ChatGPT into financial education, by focusing on the pedagogical innovation of a financial data science course with Python programming. In particular, the paper provides specific examples of potential projects, with other insights and suggestions for using ChatGPT in data science courses for finance majors.

Keywords: ChatGPT, Financial Education, Data Science, Python

JEL Classification: A22, C80, I23