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Data Science & Analytics Topics
Statistical analysis, data analytics, big data technologies, and data visualization. Covers statistical methods, exploratory analysis, and data storytelling.
Optimization and Operations Research Methods
Prescriptive analytics: formulating decisions as optimization problems — linear and integer programming, constraint-based modeling, objective functions, and trade-offs between optimality and tractability. Applied to allocation, scheduling, routing, pricing, and supply/demand problems.
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Metrics and KPI Design
Defining, selecting, and monitoring the metrics that measure a business or product. Covers north-star and supporting metrics, guardrails, metric decomposition, segmentation, and operational monitoring and alerting. Emphasizes choosing metrics that are actionable and hard to game.
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