Mathematical and Statistical Concepts in Data Analysis

Proceeding from a well-defined and visualized dataset to a usable model requires a series of steps, beginning with an understanding of a few linear algebra concepts. Once again, it isn’t necessary to be able to perform the steps manually, but it is essential to understand the concepts in order to implement the computer methods appropriately. Refining the dataset, selecting variables, and correcting non-normality and collinearity then allow developing hypotheses, with a mind toward the conditional probabilities that are inherent.