Investing Using Machine Learning And Alternative Data

by Asian Institute of Digital Finance (AIDF) NUS Claim Listing

This programme empowers you with the skills and confidence to exploit opportunities and accelerate data-driven investing decisions. Through lectures, real-world case studies, discussions, and hands-on exercises you will gain insights into various real-world applications.

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img Duration

5 Days

Course Details

This programme empowers you with the skills and confidence to exploit opportunities and accelerate data-driven investing decisions. Through lectures, real-world case studies, discussions, and hands-on exercises you will gain insights into various real-world applications of alternative data and machine learning in investing decisions.


Learning Objectives:

  • Understand how alternative data and machine learning can help improve your investing decisions
  • Understand the most recent ideas and techniques in use of alternative data and machine learning
  • Understand and interpret the data used to make investing decisions

 

Core Focus:

  • Assembling Alternative Data for Investing
  • Financial Markets and Alternative Data
  • Illiquid Markets and Alternative Data
  • Indexation and Valuation in Illiquid Markets
  • Threats, Opportunities, and Monetization of Alternative Data & Machine Learning
  • Sustainable Finance and Alternative Data
  • Financial Forecasting and Alternative Data
  • Future of Machine Learning and Alternative Data
  • Central Branch

    Innovation 4 (i4.0) Building, 3 Research Link, #04-03,, Central

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