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Reproducible Finance with R : Code Flows and Shiny Apps for Portfolio Analysis
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781138484221
- ISBN-10: 1138484229
- Publisher: CRC Press
- Publish Date: September 2018
- Dimensions: 9.2 x 6.3 x 0.7 inches
- Shipping Weight: 1.25 pounds
- Page Count: 248
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