Note: Spring 2018 marks the first “pilot” version of this course, and 4893 is a temporary course number. The course will be assigned a permanent course number and “Data Science” title for subsequent years.
Offered by: Department of Political Science, College of Arts and Sciences
Taught by: Skyler Cranmer
A revolution in data science has changed the way business, government, and the academy learn and adjust to changing environments. Companies like Facebook, Amazon, Netflix, and Google; government agencies like the CIA, NSA, and Department of Defense; as well as election forecasters like FiveThirtyEight rely on advanced data science technology to understand the vast quantities of data being produced and filter fact from noise. This new data science is a combination of the social sciences, statistics, and machine learning, and this new class is meant to provide a first introduction to the topic (no experience or pre-requisites necessary) that will culminate in a “hackathon” data project. The course is software-application focused and will tour topics such as basic design, social network analysis, text as data, machine learning, and behavioral genetics.