Master 2024/2025

Statistical Analysis II

Type: Elective course (Population and Development)

Area of studies: Public Administration

Delivered by: Department of Higher Mathematics

Where: Faculty of Social Sciences

When: 1 year, 3, 4 module

Mode of studies: offline

Open to: students of one campus

Instructors: Daria Salnikova

Master’s programme: Population and Development

Language: English

ECTS credits: 6

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. Programming in R will be a red thread through all topics. Usage of R helps to apply statistical techniques to real data. The probability theory’s part is devoted to the most fundamental aspects of statistical analysis. Econometrics is a collection of mathematical tools which helps to forecast variables, find new dependences and test theories.