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).
Pro tento dotaz bohužel nemáme k dispozici žádné další výsledky.