A practical introduction to data science: what it is, the nomenclature, what tools to use, how to get and prepare data, how to visualize results. Note: I will use Python since it’s so dominant and legible, but want to focus the talk itself on the data: insights about local demographics for entrepreneurs, for example, or findings from website traffic.