78,95 €
78,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
39 °P sammeln
78,95 €
78,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
39 °P sammeln
Als Download kaufen
78,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
39 °P sammeln
Jetzt verschenken
78,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
39 °P sammeln
  • Format: ePub

The textbook is an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The target audience are undergrad data science, finance and graduate students, and practitioners or professionals who need a desk reference.

  • Geräte: eReader
  • ohne Kopierschutz
  • eBook Hilfe
  • Größe: 37.18MB
Produktbeschreibung
The textbook is an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The target audience are undergrad data science, finance and graduate students, and practitioners or professionals who need a desk reference.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Jean-Francois Collard holds a PhD in Computer Science from the University of Paris and a Habilitation from the University of Versailles, France. He was a scientist at the National Center for Scientific Research (CNRS) in Versailles then at HP Labs in Palo Alto, California, and an engineer at Intel in Santa Clara, California. He then had various quantitative roles at Citigroup, Santander and currently in the Investment Consulting Group of New York Life Investment Management. He is also an Adjunct Associate Professor at Baruch College in New York, USA.