Master 2024/2025

Practical Machine Learning Methods for Data Mining

Type: Compulsory course (Data Analytics for Business and Economics)

Area of studies: Economics

Delivered by: Department of Economics

Where: St Petersburg School of Economics and Management

When: 1 year, 3, 4 module

Mode of studies: offline

Open to: students of one campus

Instructors: Сысоев Дмитрий Сергеевич

Master’s programme: Data Analytics for Business and Economics

Language: English

ECTS credits: 6

Course Syllabus

Abstract

During this practically oriented data science module students will learn how machine learning uses computers to run predictive models. The main principal is to explore existing data to build new knowledge, forecast future behaviour, anticipate outcomes and trends. Explore theory and practice, and work with tools like R and Python to solve advanced data science problems.