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Part I, Thinking Like a Data Scientist. - 1, How the rule of 72 can provide guidance to advance your wealth, your career and your gas mileage. - 2, Piano virtuosos and the four-minute mile. - 3, Happiness and causal inference. - 4, Causal inference and death. - 5, Using experiments to answer four vexing questions. - 6, Causal inferences from observational studies: fracking, injection wells, earthquakes, and Oklahoma. - 7, Life follows art: gaming the missing data algorithm. - Part II, Communicating Like a Data Scientist. - 8, On the crucial role of empathy in the design of communications: genetic testing as an example. - 9, Improving data displays: the media's, and ours. - 10, Inside-out plots. - 11, A century and a half of moral statistics: plotting evidence to affect social policy; Part III. Applying the Tools of Data Science to Education. - 12, Waiting for Achilles. - 13, How much is tenure worth? - 14, Detecting cheating badly: if it could have been, it must have been. - 15, When nothing is not zero: a true saga of missing data, adequate yearly progress, and a Memphis charter school. - 16, Musing about changes in the SAT: is the college board getting rid of the bulldog? - 17, For want of a nail: why worthless subscores may be seriously impeding the progress of western civilization.
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