Data Science for Business Decision Making

Chapters

1Foundations of Data Science in Business

2Business Problem Framing and Decision Science

3Data Strategy, Governance, and Ethics

4Data Acquisition and Quality Management

5Exploratory Data Analysis and Business Understanding

6Descriptive Analytics and BI for Operators

Metrics and dashboard design Cohort analysis Funnel analytics Retention and churn views Segmentation in BI Attribution basics Geo analysis and mapping Executive scorecards Self-serve analytics enablement Dimensional modeling and star schema Calculated fields and DAX Alerts, SLAs, and thresholds Embedded analytics Dashboard adoption tactics Common chart pitfalls

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/Descriptive Analytics and BI for Operators

Descriptive Analytics and BI for Operators

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Build metrics, dashboards, and reporting that drive day-to-day decisions.

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