DATA 499 Data Science Capstone

This course provides a culminating experience in formulating and resolving data science and business analytics questions, regardless of domain or nature of scientific inquiry. Students work in teams on a comprehensive project to apply data science concepts and principles. Students will complete a real-world project with data collection, data cleaning, data visualization, data modeling and analysis, and presentations of findings.

Prerequisites

• ICS 352: Machine Learning and MIS 380: Business Intelligence and Analytics and STAT 311: Regression Analysis and STAT 301: Analysis of Variance and Multivariate Analysis
• or MIS 480: Predictive Analytics

Special information

Note: Students whose prerequisites are not identified by the system should contact the Math and Statistics Department for an override at MATH@metrostate.edu.