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:

• Assoc. Prof. Dr. 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 - overview of statistical methods Data acquisition and preparation: - text processing - automatics data acquisition Producing reports and web presentations: - basic use of system for reproducible statistical reports and web presentations - producing simple statistical web applications using Shiny system Using artificial intelligence for programming and data analysis