Data Science

In a world where technological capabilities are rapidly changing, all academic disciplines are being enriched by a deep analysis of ‘big data.’ The field of Data Science has emerged as a distinct discipline with applications in not only mathematics, but also economics, political science, epidemiology, environmental science, and many more. Data Science at Dana Hall is much more than ‘statistics with computers’ - here, it is an interdisciplinary pursuit that leverages computing power to not only examine bigger and richer data sets, but to ask questions of those data sets that would have been impossible in even the very recent past. We offer Data Science at Dana Hall for the purposes of raising informed, curious, and design-minded citizens of the contemporary world, as well as empirical scholars able to answer questions with evidence and visually communicate their findings.

DATA SCIENCE CLASSES

Data Science

Data Science

This interdisciplinary course combines Social Studies, Statistics, and Computer Science to teach students to ask and rigorously answer substantive questions in social sciences with data. It covers the mechanics and ethics of data collection, visualizing variables one at a time, exploring relationships between variables, building linear regression models (simple and multivariable), and hypothesis testing. All data science work is conducted in RStudio, and students publish a Shiny page with their findings at the end of the year.

Open to 11th and 12th graders who have completed or currently enrolled in US History and who have completed Algebra II.

Data Science

Upper School Departments