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Financial Analysis in Python

Authors

James C. Brau, PhD, CFA, CFP®
Brigham Young University
Andrew L. Holmes, PhD, CFA
Brigham Young University
Benjamin M. Blau, PhD
Utah State University
Mark J. Keith, PhD
Brigham Young University
Stephen R. Owen, PhD
University of North Texas

Developers

Jordan Gardner
Software Engineer
David Hanks
Software Engineer

Editors

Aspen Stander Moore
Content Editor
Edition 1
(rev. 173)

Finance and technology have been interlocked for decades. With the explosion of fintech, the stakes are even higher. The finance industry has burgeoning demand for professionals equipped to handle both big data and high-performance computing. Python is the most popular choice to meet this growing need.

In this course, students begin by learning Python in a strategic manner tailored to finance and data analytics. Although helpful, no prior programming experience is needed to succeed in this class. We begin the course with fundamental Python topics coupled with a primer on some foundational statistics. In the second half of the course, we introduce students to key finance topics and train them to use their newly developed Python skills to solve problems as they work through case studies.

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