Data analytics tools and technologies (CS)

Type: For the student's choice

Department: system design




SemesterAmount of hoursLecturerGroup(s)
932Professor Ohirko I. V.ФеІм-12

Laboratory works

SemesterAmount of hoursGroupTeacher(s)
948ФеІм-12Professor Ohirko I. V.

Опис навчальної дисципліни

The course is designed to provide participants with the necessary knowledge and practical skills for analytical work with real data of social, economic nature, etc. Typical problems of linear and nonlinear data description methods, forecasting stationary and non-stationary time series, and extracting typical significant components from the latter will be considered in a clear combination with real data analytics tasks and typical examples.

The purpose and objectives of teaching the discipline is to form a system of fundamental knowledge on the analysis of data of statistical indicators of social, economic and behavioral processes, as well as approaches to forecasting time series of the above processes.

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