Statistics: The Crown Jewel of Data Science

Statistics has always been vitally important to data science, and its importance is growing. With data scientists in critically short supply, however, the discipline is attracting talented people from many different disciplines, each bringing different and complementary skills to a data science team. Integral to such a team’s work are tasks that are standard fare in statistics. Examples include statistical inference, experimental design and supporting decision-making under uncertainty. Powerful approaches to these are well-known to experienced statisticians but not necessarily... View Article