FIN 510

Fall 2020 All Classes

All Classes

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 fall 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	72873	Lecture-Discussion	BD2	6:30PM -9:20PM	T	1001 Business Instructional Fac	Reif, J	Part of Term: 1 Date Range: 08/24/20-12/09/20 Special Approval: Departmental Approval Required Section Info: Reserved for MSF and MSFE. Please apply for the course by submitting an application at https://forms.illinois.edu/sec/4330333 .Students accepted into the course will be notified after all applications are reviewed. Restriction(s): Restricted to MS: Financial Engineering or MS: Finance Cost Rec - UIUC.