Data Science for Business Decision Making

Chapters

1Foundations of Data Science in Business

2Business Problem Framing and Decision Science

3Data Strategy, Governance, and Ethics

Data strategy roadmap Ownership, stewardship, and roles Data catalog, lineage, and discovery Access controls and segregation of duties Privacy by design Responsible AI principles Bias and fairness assessment Model risk management Regulatory frameworks: GDPR, CCPA Retention, minimization, and deletion Consent and transparency Ethics review boards and checklists Third-party data and vendor risk Security fundamentals Auditability and traceability

4Data Acquisition and Quality Management

5Exploratory Data Analysis and Business Understanding

6Descriptive Analytics and BI for Operators

7Statistical Thinking for Decision Making

8Experimentation and Causal Inference

9Predictive Modeling for Business Outcomes

10Time Series and Forecasting

11Customer and Marketing Analytics

12Operations, Pricing, and Optimization

13Data Storytelling, Visualization, and Influence

14Productizing Analytics: MLOps and Deployment

15Measuring Impact, ROI, and Change Management

Courses/Data Science for Business Decision Making/Data Strategy, Governance, and Ethics

Data Strategy, Governance, and Ethics

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Set policies, accountability, and ethical principles that enable trustworthy analytics.

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Responsible AI principles

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