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 - Professor of the Department of Informatics, Management and Technology of the Institute of Digital Education of Moscow City Pedagogical University.