2025/2026

Статистический анализ. Продвинутый уровень

Статус: Маго-лего

Кто читает: Кафедра высшей математики

Охват аудитории: для своего кампуса

Преподаватели: Сальникова Дарья Вячеславовна

Язык: русский

Контактные часы: 48

Программа дисциплины

Аннотация

This course is a gentle introduction to modern applied statistics and econometrics. The course is based on the following principle: first, idea and formal description of mathematical concepts are given, second, these concepts are applied to real-world problems. The course has three main chapters: panel data analysis, causal inference and categorical data analysis. Usage of Python helps to apply statistical techniques to real data. Econometrics is a collection of mathematical tools which helps to forecast variables, find new dependences and test theories.