This one- or two-day seminar provides an overview of the most widely used business analytics and statistical metrics and methods, the assumptions that must hold for them to return valid insights, and where they have been shown to be most applicable.  The seminar includes brief overviews of the more modern computer intensive methods such as machine learning and categorization trees, a brief discussion of data visualization, and common software packages.

The participants individually conduct each step in the process using an example investigation.