Lectures

date title topics slides slides_pdf reading
18.02.25 Introduction Basic terms, Literature, Data, Levels of Measurement, Data Collection

smada01

smada01

25.02.25 Introduction into R R programming, Data types & structures, Basic calculations, Data import/export, Variables & operations

02-chapter

04.03.25 Explorative Statistics/Graph. Display Plots, Plots, Plots

11.03.25 Descriptive Statistics Data Distribution, Central Tendency, Dispersion Measures, Shape of Distributions

18.03.25 Nonparametric Tests Inductive Statistics, Hypothesis Testing, Nonparametric Tests, Chi-Square Test, Kolmogorov-Smirnov Test

25.03.25 *no class*

01.04.25 Basic Probability Theory Probability Theory, Statistical Tests, Sampling & Population, Combinatorics, Binomial Distribution

08.04.25 Parametric Tests Data Sampling, Parametric vs. Non-Parametric Tests, Normality Testing, t-Test & F-Test, ANOVA

15.04.25 Regression & Correlation Regression Analysis, Correlation, Data Visualization, Statistical Modelling

22.04.25 *no class*

29.04.25 Cluster Analysis Distance Measures, Hierarchical Clustering, Non-Hierarchical Clustering

06.05.25 *no class*

13.05.25 Correspondence Analysis Correspondence Analysis, Multidimensional Data & Data Representation, Data Normalisation

20.05.25 *no class*

27.05.25 Test blood, toil, tears, sweat