Data Analysis in Loginom's Analytical Platform - Yakovlev, Vladimir
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The tutorial covers the main methods of data analysis used in Loginom Community's analytical application 6.3.3: data pre-processing and cleansing, OLAP-cube operation, correlation analysis, linear regression, logistic regression, ARIMAX, factor analysis, clustering, association rules and transaction clustering. Examples are given to gain skills in their practical application in business analytics.Designed for laboratory classes and independent work of students studying in the direction of training 38.03.05 - Business Informatics (Bachelor's Degree), the study of the discipline "Data Analysis",…mehr

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Produktbeschreibung
The tutorial covers the main methods of data analysis used in Loginom Community's analytical application 6.3.3: data pre-processing and cleansing, OLAP-cube operation, correlation analysis, linear regression, logistic regression, ARIMAX, factor analysis, clustering, association rules and transaction clustering. Examples are given to gain skills in their practical application in business analytics.Designed for laboratory classes and independent work of students studying in the direction of training 38.03.05 - Business Informatics (Bachelor's Degree), the study of the discipline "Data Analysis", as well as analysts involved in practical issues of data analysis based on the analytical platform Loginom.
Autorenporträt
Vladimir Yakovlev - Profesor del Departamento de Informática, Gestión y Tecnología del Instituto de Educación Digital de la Universidad Pedagógica de la Ciudad de Moscú.