Basic Knowledge of R language

Understand what Business Analytics is, studying its main tools and their application to different case studies.

1. Introduction and Predictive Analytics. a. A process model for Data Mining ¿ CRISP-DM. b. Predictive Modeling Tools. 2. Advanced Data Visualization and Data Wrangling. 3. Classification methods in Business Analytics. 4. Text Mining for Business Analytics. 5. Social Network Analysis. 6. Real Case Studies: market basket analysis, Response Modeling in Direct Marketing, opinion mining and CEO letters to shareholders mining, Predicting Bank Loan Default, etc.

TEACHING METHODOLOGIES In-class lectures by the teacher with the support of computer and audiovisual media, in which the main concepts of the subject are developed and the bibliography is provided to complement the students' learning. - Resolution of practical cases, problems, etc., posed by the teacher individually or in groups. - Preparation of individual work and reports. USE OF ARTIFICIAL INTELLIGENCE - The use of AI tools such as Chat GPT is allowed in the programming area. Chat GPT works in this case as an advanced content search engine, so that it facilitates and accelerates the process of becoming familiar with the course programming tools.