Rutgers University 3 credits Business Analytics and Information Technology
Introduction to fundamental statistical techniques for analyzing large-scale business data; provides systematic training in statistical models for massive datasets and programming, data management, and exploratory data analysis in real-world settings. Students develop context-sensitive models and perform model checking and diagnosis. Topics include parametric inference, logistic regression, nonlinear regression, causal inference, graphical models, dimension reduction, and model selection. Provides a comprehensive set of data analysis techniques through lessons, demonstrations, and programming labs. Prerequisites: 33:136:370 or 33:010:458 or 29:010:485. Open to 136 majors. Junior or senior status.
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