Applied Data Science in Finance (Python) - Applied Data Science

Chemin ROF:
/École d'économie de la Sorbonne/Master 2 indifférencié Finance technology data/Semestre 3/UE2 Data/Applied Data Science in Finance (Python)
Chemin ROFid:
/02/UP1-PROG-02-MIB50A-125/UP1-PROG-ELP-B5IAS325/UP1-C-ELP-B5EIA319/UP1-C-ELP-B5IA0119
Code Apogée: B5IA0119
Composante: École d'économie de la Sorbonne
Semestre: 3
Niveau: M2
Niveau LMDA: Masters
Niveau année: 5
Composition: Cours magistral
Diplôme: Master 2 indifférencié Finance technology data
Domaine ROF: [Sciences économiques] Sciences économiques
Type ROF: [M2]
Nature ROF: [5] BAC+5
Cycle ROF: [2]
Rythme ROF: [Apprentis.,Initiale]
Langue: []
Mention: Monnaie, banque, finance, assurance
Spécialité: Finance technology data

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