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Teaching GuideTerm Faculty of Humanities |
| Grao en Xestión Dixital de Información e Documentación |
 Subjects |
| Data Science |
| Contents |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Data Science | Code | 710G04026 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Second | Basic training | 6 | ||||||||||
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| Topic | Sub-topic |
| The following topics develop the contents established in the file of the Verification Report, being: | Introduction and main statistical concepts related to sampling and survey design. Introduction to statistical inference and point estimation. Confidence intervals. Hypothesis testing. Analysis of variance (ANOVA). Regression models. Other multivariate analysis techniques. Computational tools for the generation of statistical reports. |
| 1. Sampling and surveys: introduction and main concepts. | General concepts of statistical sampling and survey design. |
| 2. Introduction to statistical inference and point estimation. | General concepts. Sampling. Parameter estimation. Properties of estimators. Point estimation: point estimation of the mean, variance and a proportion. |
| 3. Confidence intervals. | Concept of confidence interval. Confidence interval for a mean, for a variance, for a proportion and for the difference of two means. |
| 4. Hypothesis testing. | General concepts. Hypothesis testing for the mean, the proportion and for the difference of two means. Independence contrasts. |
| 5. Analysis of variance (ANOVA). |
Graphical ANOVA. ANOVA of one factor. ANOVA of more than one factor. |
| 6. Regression models. |
Simple and multiple linear regression model. Other regression models. |
| 7. Other multivariate analysis techniques: principal component analysis, factor analysis, correspondence analysis, multidimensional scaling. | Introduction to the most used multivariate techniques. |
| 8. Computational tools for the generation of statistical reports. | Introduction to different tools of the statistical software R for the generation of reports: Rstudio, Rmarkdown, Graphics with R, Htmlwidgets. |
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