Abstract: 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 involves tasks that are standard fare in statistics. Examples include statistical inference, experimental design, or supporting decision making under uncertainty. Powerful approaches to these are well known to experienced statisticians but not necessarily to many data scientists. What are some of these?
Antony will share stories from his work leading data science teams in industry, illustrating examples where statistics has worked its magic. He will urge us to renew the wonder and amazement of our discipline as the best way to force our discipline to take its rightful place in the Data Science discipline, and inspire the statistics profession to pass this on to the new generation of data scientists.
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