Become familiar with different analytical tools, based on data, to make decisions
Acquire skills in unsupervised learning to build clusters and decrease dimensionality in big datasets
Develop skills for the main statistical and machine-learning tools in supervised learning: classification and regression
Use these models to make practical predictions/classifications and perform analytical inferences
Handle the R language for these tools