Syllabus
* Basics of using the R system, elementary programming skills
- Data vectors, data tables, working with data files
- Methods for textual data processing
- Tools from the tidyverse package
- Data visualization
- Regular expressions
* Elementary knowledge of probability and statistics
- Theoretical and empirical probability distribution
- Contingency tables
- Simulation of random processes
- Binomial and normal distributions
- Using simple statistical tests
* Support for experimenting with Artificial Intelligence
Annotation
Computer data processing has become a methodological prerequisite for the vast majority of scientific fields, including the humanities and social sciences. The teaching takes place in the form of illustrative examples and guides students from the very basics of working with data to solving practical problems using tools implemented in the R software environment.
This course does not assume any previous knowledge of programming and is intended primarily for students of humanities and social sciences, at any level (Bc/Mgr/PhD).