Studied soup to nuts in Python and in R how to capture data, clean and condition it, how to design experiments and store and handle data in a scientifically rigorous way, to avoid p-hacking and other common pitfalls for proper scientific experiment design and interpretation, and come up with statistically rigorous machine learning models for predictive analysis.