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LinkedIn Learning

The Data Science of Economics, Banking, and Finance

via LinkedIn Learning

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Overview

Syllabus

Introduction
  • The data science of finance
1. Applying Data Science
  • Data science and money
  • AI and LLMs in the financial world
  • Social trading and finance influencers
  • Social payment apps and informal banking
  • Cryptocurrencies and blockchain in finance
  • Responding to financial scams and frauds
  • Algorithmic and human-in-the-loop trading
  • Automated reviews for loan, credit, and job applications
  • Correlation and causality in economic data
  • Privacy regulations and explainable AI
  • Bias and risk in financial and economic modeling
  • Careers for data scientists in economics, banking, and finance
Conclusion
  • Next steps and additional resources

Taught by

Barton Poulson

Reviews

4.7 rating at LinkedIn Learning based on 351 ratings

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