Statistics in data analytics
Statistika v podatkovni analitiki
6.0 ECTS / 60 (30 hours of lectures, 30 hours of exercises, 0 hours of seminars, 0 hours other forms of work)
izr. prof. dr. Katja Lozar Manfreda
- Tch. Asst. Dr. Emil Polajnar
- Undergraduate Programme of Social Informatics
- basics of data visualisation, - basics of data management, - cross-tabulations to establish relationships between two or three categorical variables, - analysis of differences in means for two (t-test) or more groups (analysis of variance), - correlations and regression analysis (bivariate and multiple linear regression, regression including dummy variables as independent variables, assumption testing, basics of non-linear regression).
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Curriculum was last modified on: 18.05.2020