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
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.