Teaching GuideTerm
Faculty of Humanities
Guía Provisional
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Grao en Xestión Dixital de Información e Documentación
 Subjects
  Data Mining
   Learning aims
Learning outcomes Study programme competences / results
Acquisition of skills for the selection, treatment, management and analysis of information through data mining techniques.
Knowledge and skills for the application of the main classification techniques.
Acquire knowledge of computational data analysis, including programs such as R statistical software.
Choosing the quantitative techniques appropriate to the objectives for research, administration and management tasks.
Capacity for analysis and synthesis applied to the management and organization of information.
Knowledge and skills for the application of regression techniques, anomaly detection and time series.
Acquisition of decision-making skills based on statistical analysis of complex databases.
Knowledge and skills for the application of the main classification techniques.
Acquisition of decision-making skills based on statistical analysis of complex databases.
Knowledge and skills for the application of regression techniques, anomaly detection and time series.
Capacity for analysis and synthesis applied to the management and organization of information.
Choosing the quantitative techniques appropriate to the objectives for research, administration and management tasks.
Acquire knowledge of computational data analysis, including programs such as R statistical software.
Acquisition of skills for the selection, treatment, management and analysis of information through data mining techniques.
Acquisition of skills for the selection, treatment, management and analysis of information through data mining techniques.
Acquire knowledge of computational data analysis, including programs such as R statistical software.
Choosing the quantitative techniques appropriate to the objectives for research, administration and management tasks.
Capacity for analysis and synthesis applied to the management and organization of information.
Knowledge and skills for the application of regression techniques, anomaly detection and time series.
Acquisition of decision-making skills based on statistical analysis of complex databases.
Knowledge and skills for the application of the main classification techniques.
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