The essential guide for data scientists and for leaders who must get more from their data science teams.It is no secret that “data,” broadly defined, is all the rage. And “data science,” including traditional statistics, Bayesian statistics, business intelligence, predictive analytics, Big Data, Machine Learning (ML), and Artificial Intelligence (AI) are enjoying the spotlight. There are plenty of great successes, building on a rich tradition of statistics in government and industry, driven by increasing business needs, more data powered by social media, the Internet of Things (IoT), and the computer power to analyze it. Iconic new companies include Amazon, Facebook, Google, and Uber.