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Teaching GuideTerm Faculty of Humanities |
| Grao en Xestión Dixital de Información e Documentación |
 Subjects |
| Data Science |
| Learning aims |
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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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| Learning outcomes | Study programme competences | ||
| To know the basic inference techniques and acquisition of skills for the estimation and interpretation of confidence intervals and hypothesis testing of one and two populations. | A8 A13 A21 |
B1 B8 B9 |
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| To know the main types of sampling and the basic tools for survey design. | A1 A13 A20 A21 |
B2 B3 B4 B5 B9 |
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| Ability to compare two or more populations from databases of different degrees of complexity. | A1 A21 |
B1 B2 B3 B4 B5 |
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| Knowledge of the different multivariate data analysis techniques to describe and obtain relevant information from complex databases. | A1 A20 A21 |
B1 B2 B3 B4 B5 |
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| Ability to use computational tools for multivariate data analysis. | A22 |
B11 |
C2 C6 C8 |
| Integrate theoretical and practical statistical knowledge as a way to knowledge and reflective and totalizing thinking. | A1 A13 |
B2 B3 B4 B5 B6 B7 B10 |
C4 C7 C8 |
| Capacity of analysis and synthesis applied to the management and organization of information. | B2 B3 B4 B5 B6 B7 B8 B9 |
C1 C3 C5 |
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| Acquisition of decision-making skills based on statistical analysis of complex databases. | A21 |
B2 B3 B8 B9 |
C8 |
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