• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Master 2024/2025

Statistical Analysis II

Type: Elective course (Population and Development)
Area of studies: Public Administration
Delivered by: Department of Higher Mathematics
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
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. 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.