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Financial Data Science

Name: Financial Data Science
Price: 1461.00 SGD

Training Provider: Singapore University of Social Sciences

Course Reference: TGS-2026063978

S$1,461

About This Course

1. Distinguish between structured and unstructured data used commonly in financial applications.
2. Formulate statistical models to represent financial data.
3. Appraise cryptographic primitives underlying security in cryptocurrency networks and calculate network statistics regarding the systems.
4. Implement Python programs to acquire financial data using APIs.
5. Use Python to automate large-scale financial calculations.
6. Operate a financial information system for obtaining market data and information.

What You'll Learn

FIN322 Financial Data Science aims to equip students with suitable mathematical and programming skills to measure data, to read, understand, apply and implement models, so as to provide solutions to problems that arise from both conventional finance as well as FinTech. The course builds up the ability to interpret with mathematical models, and then to translate the models into a programming language for implementation. This is a valuable and repeatable skill in the digitalised world. A single, well-known, programming language (e.g. Python) is used throughout the course to help the student pick up knowledge around the art of translation as well as to be able to efficiently handle financial data and to reason with it. Various scenarios from finance, ranging from the traditional setting of risk and return to the modern setting of FinTech, are used as examples to reinforce the link between mathematical modelling and programming. Course Pre-requisites needed (ANL101 or BUS105) and (ANL251 or ANL252)