FIN 510

Spring 2021 Part of Term 1

Part of Term 1
Jan 25-May 5

Big Data Analytics in Finance for Predictive and Causal Analysis

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Credit: 4 hours.

Recent trends in "big data" present both enormous challenges and opportunities for businesses. This course introduces concepts and techniques of data analytics and shows how they can be used for making predictions, and to distinguish between correlation and causation, in the context of financial and economic analysis. Covered tools include data visualization, machine learning, regression analysis, randomized trials, A/B testing, and quasi-experiments. Students will apply these tools using R programming within the Amazon Web Services cloud computing environment.

4 graduate hours. No professional credit. Credit is not given for FIN 510 and these sections of FIN 580: Section BD1, (50081); Section BD2, (48173); and Section BD3, (70398). Prerequisite: Consent of Instructor.

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FIN 510 class schedule data for spring 2021
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	71511	Lecture-Discussion	BD1	12:30PM -1:50PM	MW	Business Instructional Fac	Molitor, D Novianto, A	Part of Term: 1 Date Range: 01/25/21-05/05/21 Special Approval: Departmental Approval Required Section Info: Restricted to MSF and MSFE.
	71513	Online	BD3	11:00AM -12:20PM	MW	n.a.	Molitor, D Novianto, A	Part of Term: 1 Date Range: 01/25/21-05/05/21 Special Approval: Departmental Approval Required Section Info: Restricted to MSF and MSFE.