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Reproducible Finance with R

- Code Flows and Shiny Apps for Portfolio Analysis

About Reproducible Finance with R

The intended audience is leaders at financial institutions who want to build data science practices, analysts at financial institutions who want to work on data science teams, students/aspiring professionals who want work in finance and anyone who has foreseen that Excel skills are not enough to be competitive in finance.

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  • Language:
  • English
  • ISBN:
  • 9781138484030
  • Binding:
  • Paperback
  • Pages:
  • 248
  • Published:
  • October 7, 2018
  • Dimensions:
  • 234x156x21 mm.
  • Weight:
  • 422 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 8, 2024
Extended return policy to January 30, 2025

Description of Reproducible Finance with R

The intended audience is leaders at financial institutions who want to build data science practices, analysts at financial institutions who want to work on data science teams, students/aspiring professionals who want work in finance and anyone who has foreseen that Excel skills are not enough to be competitive in finance.

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