Магистратура
2025/2026
Многомерный анализ данных
Статус:
Курс по выбору (Аналитика данных и прикладная статистика / Data Analytics and Social Statistics)
Когда читается:
1-й курс, 4 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Павлова Ирина Анатольевна
Язык:
английский
Course Syllabus
Abstract
This course takes a modern, data-analytic approach to the multivariate data. Multivariate data analysis (MVA) encompasses statistical techniques that are used to analyze several variables at once. The course covers some basic notions of statistics with the development into several domains: cluster analysis, principle component analysis, factor analysis, canonical corelation analysis, discriminant analysis. All the topic of the course are supplemented by the examples of MVA application to different types of data. This course serves as an important prerequisite for the course in structural equation modeling.