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Statistical programming

Statistično programiranje

Course credits:

6.00 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


  • Asst. Prof. Luka Kronegger






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 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 Additional topics (selection): - statistical simulations - automatics data acquisition

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Curriculum was last modified on: 17.06.2021