The Data Science of Economics, Banking, and Finance

In this course, Barton Poulson—professor, consultant, entrepreneur, and data expert—presents a fresh, approachable view of how data science can be applied to the finance world, along with an insightful evaluation of the challenges that have occurred and potential solutions. Learn more about data science and how you can develop your skills in finance. Get an introduction to a number of possibilities, challenges, and solutions. Plus, explore social media and non-professional engagement with financial topics, including sections on AI, LLMs, ChatGPT, social media financial influences, and social payment apps.

Learning objectives
Learn about data science and money
Discover how AI and LLMs can be used in the financial world
Find out about social trading and finance influencers
Explore social payment apps and informal banking
Learn about cryptocurrencies and blockchain in finance
Review best practices for responding to financial scams and frauds
Go over algorithmic and human-in-the-loop trading
Discover automated reviews for loan, credit, and job applications
Explore correlation and causality in economic data
Learn about privacy regulations and explainable AI
Explore bias and risk in financial and economic modeling
Learn about careers for data scientists in economics, banking, and finance