Statistical programming
Statistično programiranje
Course credits:
9.00 ECTS / 60 (30 hours of lectures, 0 hours of exercises, 30 hours of seminars, 0 hours other forms of work)
Course holder:
prof. dr. Aleš Žiberna
Lecturers:
- Asst. Prof. Luka Kronegger
Type:
Required
Language:
English
Semester:
First semester
Study degree
2. level
Course execution:
- Postgraduate Programme of Social Informatics
Short content
R basics:
- data types and data structures
- data import, export and manipulation
- introduction to programming in R (loops, conditional execution, writing functions)
- overview of statistical methods
Data acquisition and preparation:
- text processing
- automatics data acquisition
Producing reports and web presentations:
- basic use of system for reproducible computer supported statistical reports and web presentations
- producing simple statistical web applications using Shiny system
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Curriculum was last modified on: 20.03.2023