1. Capacity for modeling problems derived from data with many variables.
2. Apply basic probabilistic models.
3. Obtain point estimators for some relevant parameters and estimate the corresponding confidence intervals.
4. Manage sampling and asymptotic distributions.
5. Perform statistical inference and understand the key concepts in hypothesis testing.
6. Handle statistical software: R