R programming


Creating a dataset based on specific data requirements and data management

Developing useful descriptive statistics: mean, standard deviation, variance, minimum, maximum, frequencies

Creating crosstabulations

Comparing the Frequentist and Bayesian logics

Creating plots

Exploring data with bivariate statistics: A/B testing, Independent samples T-test and ANOVA

Fitting linear models in a multivariate framework: regressions


Level of skills: beginner

Time to be allocated for the training: 3 days with 6 hours per day