Last Updated: Fri, 12/19/2025
Syllabus
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General Class Information
Academic year:
2026
Semester:
Spring
Course prefix:
MGT
Course number:
6500
Section:
EMA, EMO
CRN
24559
34165
Instructor first name:
Ravi
Instructor last name:
Subramanian
Catalog Description

To introduce participants to a problem-driven approach to assembling, analyzing, and taking action on data. With the Problem-Plan-Data-Analysis-Conclusions (PPDAC) Cycle and Gartner’s Analytics Maturity Model (Descriptive → Diagnostic → Predictive → Prescriptive Analytics) as frameworks, fundamental concepts for the analysis of data will be covered, including descriptive statistics, visualizations, probability and distributions, confidence intervals, hypothesis testing, and regression analysis/predictive analytics. Knowledge of the “whys” behind these tools facilitates rigorous data-driven decision-making.