Delivered at:: Department of Statistics and Data Analysis

Course type:: Elective course

When:: 4 year, 1 module

Instructor

Кузин Сергей Сергеевич

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Abstract

Data Mining is the creation of new knowledge to solve business problems, by using business knowledge to discover and interpret patterns in data. The course contents both methodology of the data mining process and practical guide to data preparation, modeling, and deployment analytics into business processes. It covers the following main types of modelling techniques: classification, regression, clustering, anomaly detection and association rules. Special attention will be given to the hands-on data analysis using available software tools.

Bachelor’s Programme 'Economics and Statistics'

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Data Mining

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Course Syllabus

Abstract