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Teaching GuideTerm Faculty of Economics and Business |
Guía Provisional
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| Máster Universitario en Economía |
 Subjects |
| Advanced Techniques for Data Analysis |
| Contents |
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| Identifying Data | 2024/25 | |||||||||||||
| Subject | Advanced Techniques for Data Analysis | Code | 611532032 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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| 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. |
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