Data Science in Finance

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Overview

Subject area

FIN

Catalog Number

9777

Course Title

Data Science in Finance

Description

This course serves as an introductory exploration into the analysis of economic and financial data leveraging the Python programming language. Students will acquire a foundational understanding of Python's syntax and structures, then delve into the core components of data science: data input, manipulation, visualization, and statistical analysis. Emphasis will be placed on practical applications using real-world economic and financial datasets. Throughout the course, students will engage in hands-on exercises and projects to reinforce their learning and develop proficiency in conducting empirical data science analyses within the context of economics and finance.

Typically Offered

Fall, Spring, Summer

Academic Career

Graduate

Liberal Arts

No

Credits

Minimum Units

3

Maximum Units

3

Academic Progress Units

3

Repeat For Credit

No

Components

Name

Lecture

Hours

3

Requisites

038252

Course Schedule