Content:
- Laboratory 1: introduction to R language
- Laboratory 2: data handling
- Laboratory 3: creating plots and histograms; probability distributions
- Laboratory 4: ggplot2 package
- Laboratory 5: statistical hypotheses; fitting of univariate distributions
- Laboratory 6: Pearson correlation; time-series analysis
- Laboratory 7: linear, logistic and Poisson regressions
- Laboratory 8: introduction to data mining
- Laboratory 9: supervised classification algorithms
- Laboratory 10: unsupervised classification algorithms