Cloud Data Ecosystem & Data/AI Ethics
Students design an end-to-end cloud analytics workflow while learning how governance, privacy, and organizational choices shape the value of technology.
Cloud · Analytics · Causality · Ethics
Teaching at Chapman University
From data to decisions.
I teach students to move from business questions to evidence—building models, cloud workflows, and responsible recommendations they can explain.
Hands-on, managerial, and grounded in real decisions.
Current courses
Two levels.
One analytical arc.
MGSC 220 builds the foundation for understanding and modeling business data. BUS 673 extends that foundation into cloud platforms, scalable analytics, causal reasoning, and responsible AI.
Foundations of Business Analytics
Students use spreadsheets to describe data, build predictive and prescriptive models, and translate quantitative output into managerial action.
Describe · Predict · Optimize
Course explorer
What students learn.
Switch between courses to see the learning journey. The summaries are drawn from the current syllabi and instructional materials.
BUS 673 · Graduate
Cloud Data Ecosystem & Data/AI Ethics
An applied journey from cloud strategy and data infrastructure to analytics, causal reasoning, governance, and responsible AI.
- Configure cloud storage, processing, and analytics workflows.
- Use BigQuery and cloud-native pipelines for business analysis.
- Distinguish descriptive, predictive, and causal questions.
- Evaluate privacy, fairness, transparency, and governance.
Learning pathway
Teaching approach
Learn by building—and explaining.
Start with the decision
Every technique begins with a business question, the available evidence, and the consequences of getting the answer wrong.
Build the workflow
Students work directly with spreadsheets, cloud storage, SQL, notebooks, and models instead of treating analytics as a collection of formulas.
Interrogate the result
Prediction, causation, uncertainty, privacy, and bias are treated as distinct questions requiring careful interpretation.
Communicate for action
Technical output becomes a concise visual, managerial recommendation, or governance choice that another person can evaluate.