Analytics and Technology / 6 weeks
Business Analytics and Decision Science
Helps leaders convert data into decisions through problem framing, metrics, experiments, models, and executive narratives.
Learning path
Six modules with practical application.
- Decision framing, business questions, hypotheses, and metric trees
- Data quality, source evaluation, definitions, lineage, and bias risks
- Descriptive analytics, diagnostic cuts, segmentation, and variance explanation
- Predictive thinking, model interpretation, confidence, and limits
- Experiment design, A/B tests, causal inference basics, and decision thresholds
- Executive storytelling, dashboards, governance, and action tracking
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