1. Descriptive statistics of qualitative variable, i.e. frequency table, frequency graphs (bar and line graph) in MS Excel
2. Basics of working with R software (data matrices, data types, indexing, picking, mathematical and logical operators, loading files, loading files with missing values, ...) + Descriptive statistics of qualitative variables in R
3. Descriptive statistics of a quantitative variable (measures of position, measures of variability, measures of skewness and kurtosis, rounding of numerical characteristics, outliers and their identification, visualization (histogram, box plot))
4. Descriptive statistics of a quantitative variable in MS Excel (2 exercises)
5. Descriptive statistics of a quantitative variable in R
6. Credit test 1
7. Descriptive statistics for the analysis of the dependence of two quantitative variables (correlation coefficients, scattergrams, introduction to linear regression)
8. Descriptive statistics for dependence analysis of two quantitative variables - MS Excel + R
9. Descriptive statistics for paired data in MS Excel + R
10. Descriptive time series analysis (measures of dynamics, moving averages, visualization)
11. Descriptive time series analysis in MS Excel + R
12. Credit test 2
2. Basics of working with R software (data matrices, data types, indexing, picking, mathematical and logical operators, loading files, loading files with missing values, ...) + Descriptive statistics of qualitative variables in R
3. Descriptive statistics of a quantitative variable (measures of position, measures of variability, measures of skewness and kurtosis, rounding of numerical characteristics, outliers and their identification, visualization (histogram, box plot))
4. Descriptive statistics of a quantitative variable in MS Excel (2 exercises)
5. Descriptive statistics of a quantitative variable in R
6. Credit test 1
7. Descriptive statistics for the analysis of the dependence of two quantitative variables (correlation coefficients, scattergrams, introduction to linear regression)
8. Descriptive statistics for dependence analysis of two quantitative variables - MS Excel + R
9. Descriptive statistics for paired data in MS Excel + R
10. Descriptive time series analysis (measures of dynamics, moving averages, visualization)
11. Descriptive time series analysis in MS Excel + R
12. Credit test 2