Checking date: 11/05/2018

Course: 2018/2019

Introduction to Data Mining for Business Intelligence
Study: Bachelor in Finance and Accounting (201)

Coordinating teacher: MUÑOZ GARCIA, ALBERTO

Department assigned to the subject: Department of Statistics

Type: Electives
ECTS Credits: 6.0 ECTS


Students are expected to have completed
Competences and skills that will be acquired and learning results. Further information on this link
Description of contents: programme
Learning activities and methodology
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
  • Avril Coghlan. A little book of R for multivariate analysis. Internet. 2014
  • Johannes Ledolter. Data Mining and Business Analytics with R. Wiley. 2013
Additional Bibliography
  • Y Zhao. R and Data Mining. Examples and Case Studies. Elsevier. 2012

The course syllabus and the academic weekly planning may change due academic events or other reasons.