Big Data: Measuring and Predicting Behavior
School: Warwick Business School
Registration Link: Big Data: Measuring and Predicting Behavior
Start Date: April 20, 2015 (9 Weeks Long)
Workload: 4 Hours Per Week
Instructors: Suzy Moat and Tobias Preis
Credentials: Moat is an assistant professor of behavioural science at Warwick Business School, where she teaches courses in big data analytics, complexity in the social sciences, and data science research. A Ph.D. from the University of Edinburgh, her main research interest is how data can help predict human behavior. Preis is also an assistant professor of behavioural science at the school, where he teaches big data analytics and behavioural sciences for the manager.
Graded: Not Specified
Description: Moat is fond of saying that “history repeats itself.” By collecting and analyzing a wide set of data, she argues that you can “identify patterns” and “better forecast the future.” These days, people produce data by the minute, whether it is a purchase, a call, or an internet search. By connecting this data, everyone from policy makers to business makers can make better decisions. And this philosophy underpins this course, where students will examine how big data applies to healthcare, economics, transportation, and crime. For example, students will use data sets to measure traffic patterns, exploring how modifying variables can reduce congestion. In addition, students will learn how to “write basic programs in R, create basic data visualisations and carry out simple analyses.”
Review: No reviews.