Teaching GuideTerm Faculty of Economics and Business |
Guía Provisional |
Máster Universitario en Economía |
Subjects |
Advanced Techniques for Data Analysis |
Contents |
|
|
|
Identifying Data | 2024/25 | |||||||||||||
Subject | Advanced Techniques for Data Analysis | Code | 611532032 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
|
Topic | Sub-topic |
Lesson 1.- Introduction to statistical learning | Statistical Learning vs Machine Learning Construction and model evaluation Curse of dimensionality Analysis and model interpretation |
Lesson 2.- Predictive (classical) methods of statistical learning | Multiple linear regression Variable selection Generalized linear models |
Lesson 3.- Nonparametric regression methods | Local regression and k nearest neighbours Additive generalized models |
Lesson 4.- Searching for patterns in databases | Introduction to data mining Introduction to multivariate analysis Descriptive techniques and visualization of multivariate data |
Lesson 5.- Dimensionality reduction methods | Principal component analyis Factorial analysis |
Lesson 6.- Unsupervised and supervised classification | Clustering Discriminant analysis |
Practicum | Applications using R software to study cases and practical examples. |
|