In the rapid emergence of data products and computation tools for machine learning and artificial intelligence, it is essential for every business stakeholder to know how to tease insight from data, where the numbers come from, make sense of data and apply analytical tools to inform business decisions, and potential development.  This course starts from making sense of data by relating distributional statistics to business settings.  Techniques used in handling missing data and transforming variables for further analysis are also emphasized.  The course then lays out common data analytical models that are appropriate for formulating business plans and predicting consumer or firm behaviour.  As a good graphical representation of data information is important in businesses, the course introduces a tool that provides a platform to design interactive reports with the data analytical outcomes.