Big Data/Data Mining Applied to Marketing

llsms2004  2022-2023  Louvain-la-Neuve

Big Data/Data Mining Applied to Marketing
5.00 crédits
30.0 h
Q2
Enseignants
Chevalier Ludovic;
Langue
d'enseignement
Anglais
Ressources
en ligne
Ce cours est enseigné en anglais.  Merci de consulter la version anglaise du descriptif.
Bibliographie


Slides provided through Moodle.
Additional references on the topic will be communicated later to the students.
 
Reference books (recommended but not compulsory):

The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits by Russel Glass.
Big Data Marketing: Engage Your Customers More Effectively and Drive Value by Lisa Arthur.


(For even more:
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by E. Siegel
Big Data: A Revolution That Will Transform How We Live, Work, and Think by V. Mayer-Schönberger and K. Cukier
Data-driven Marketing: The 15 Metrics Everyone in Marketing Should Know by Mark Jefferey.)
Faculté ou entité
en charge
CLSM


Programmes / formations proposant cette unité d'enseignement (UE)

Intitulé du programme
Sigle
Crédits
Prérequis
Acquis
d'apprentissage
Master [120] en sciences de gestion

Master [120] : ingénieur de gestion

Master [120] en sciences de gestion

Master [120] : ingénieur de gestion