Basic multivariate analysis

SPECIFIC SKILLS and COMPETENCES 1. To know and use advanced statistical techniques, with last generation software support. 2. To extract and analyze information from large data sets. TRANSVERSAL SKILLS and COMPETENCES 1. Ability of information analysis and synthesis. 2. Modelization and resolution of practical problems in Data Mining. 3. Oral and written communication skills.

1. R programing language 1.1 Data types and importing data 1.2 Loops and conditionals 1.3 Functions 2. Exploratory Data Analysis 2.2 Ggplot2 package 3. Supervised Classification 3.1 K-nearest neighbors 3.2 Decision Trees 3.3 The Gaussian distribution and discriminant analysis 3.4 Support Vector Machines 3.5 Logistic Regression 4. Dimensionality Reduction and clustering techniques 4.1 Principal Component Analysis 4.2 K-means 4.3 Hierarchical Clustering 5. How to write a report with R-Markdown

The program consists of 14 theoretical classes with supporting material available in the global classroom and 14 sessions based on computer practice sessions. Every week students will have an optional collective tutorial where they can solve their doubts.