Master 2025/2026

Data Mining

Type: Compulsory course (Data Analytics and Social Statistics)

Delivered by: International Laboratory for Applied Network Research

When: 1 year, 3 module

Open to: students of one campus

Instructors: Перехожев Егор Сергеевич

Language: English

Course Syllabus

Abstract

This course provides a comprehensive introduction to Data Mining techniques and their applications in Orange. Students will explore methods for visualizing and interpreting data, develop predictive models, and apply classification and clustering algorithms to real-world problems. They will gain hands-on experience with advanced techniques such as hyperparameter tuning and dimensionality reduction. The course also covers text mining and the use of pre-trained deep learning models for complex data analysis tasks. By the end of the course, students will have a solid understanding of data mining principles and practical skills to extract valuable insights from diverse data.