%0 Generic %1 chamandy2015teaching %A Chamandy, Nicholas %A Muralidharan, Omkar %A Wager, Stefan %D 2015 %K statistics %T Teaching Statistics at Google Scale %U http://arxiv.org/abs/1508.01278 %X 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.

@misc{chamandy2015teaching, 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.}, added-at = {2020-06-02T18:50:54.000+0200}, author = {Chamandy, Nicholas and Muralidharan, Omkar and Wager, Stefan}, biburl = {https://www.bibsonomy.org/bibtex/250890d321ff3f4a44c26183371eb0b5c/cpankow}, description = {[1508.01278] Teaching Statistics at Google Scale}, interhash = {5de962b8a7f3312b4c758105997bb760}, intrahash = {50890d321ff3f4a44c26183371eb0b5c}, keywords = {statistics}, note = {cite arxiv:1508.01278Comment: To appear in The American Statistician}, timestamp = {2020-06-02T18:50:54.000+0200}, title = {Teaching Statistics at Google Scale}, url = {http://arxiv.org/abs/1508.01278}, year = 2015 }