Bachelor 2024/2025

Data Mining

Type: Elective course (Economics and Statistics)

Area of studies: Economics

Delivered by: Department of Statistics and Data Analysis

Where: Faculty of Economic Sciences

When: 4 year, 1 module

Mode of studies: offline

Open to: students of one campus

Instructors: Кузин Сергей Сергеевич

Language: English

ECTS credits: 3

Course Syllabus

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.