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arXiv · 1508.01278

Teaching Statistics at Google Scale

Nicholas Chamandy·Omkar Muralidharan·Stefan Wager
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Abstract

Modern data and applications pose very different challenges from those of the 1950s or even the 1980s. Students contemplating a career in statistics or data science need to have the tools to tackle problems involving massive, heavy-tailed data, often interacting with live, complex systems. However, despite the deepening connections between engineering and modern data science, we argue that training in classical statistical concepts plays a central role in preparing students to solve Google-scale problems. To this end, we present three industrial applications where significant modern data challenges were overcome by statistical thinking.

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Nicholas Chamandy, Omkar Muralidharan, Stefan Wager. 2015-08-16. Teaching Statistics at Google Scale. https://arxiv.org/abs/1508.01278

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