Financial Markets: Course Introduction

Professor Shiller provides a description of the course, including its general theme, the relevant textbooks, as well as the interplay of his course with Professor Geanakoplos's course "Economics 251--Financial Theory." Finance, in his view, is a pillar of civilized society, dealing with the allocation of resources through space and time in order to manage big and important risks.

After talking about finance as an occupation, he emphasizes the moral imperative to use wealth for the purposes of philanthropy, in the spirit of Andrew Carnegie, but also of Bill Gates and Warren Buffett. Finally, he concludes with a description of the topics to be discussed in each lecture.

https://www.youtube.com/watch?v=WQui\_3Hpmmc

Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book includes PDFs, explanations, instructions, data files, and R code for all examples.

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Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.