Магистратура
2025/2026
Глубинный анализ данных
Статус:
Курс обязательный (Аналитика данных и прикладная статистика / Data Analytics and Social Statistics)
Когда читается:
1-й курс, 3 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Перехожев Егор Сергеевич
Язык:
английский
Контактные часы:
40
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.