ENGR3531 Data Science
This course may be used to satisfy the Probability and Statistics requirement.
Data Science lies at the intersection of statistics, machine learning, database design, and data visualization. The goal of this class is to prepare students to work on data science projects that involve collecting data or finding data sources, exploratory data analysis and interactive visualization, statistical analysis and machine learning, predictive analytics, model selection, and validation. Class work includes a substantial project on a real world application of the students' choice; projects might involve work with a social change organization like those on DataKind, or participating in a competition like those on Kaggle.
Concurrent Requisites
MTH2131
Recommended Requisites
ENGR2510: Software Design or permission of instructor