Master 2025/2026

Statistical Analysis II

Type: Elective course (Population and Development)

Delivered by: Department of Higher Mathematics

When: 1 year, 3, 4 module

Open to: students of one campus

Instructors: Daria Salnikova

Language: English

Contact hours: 48

Course Syllabus

Abstract

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.