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

7Statistical Thinking for Decision Making

8Experimentation and Causal Inference

9Predictive Modeling for Business Outcomes

10Time Series and Forecasting

11Customer and Marketing Analytics

Customer lifecycle mapping Segmentation and personas Customer lifetime value modeling Churn prediction Next-best-action strategies Marketing mix modeling Digital attribution methods Pricing elasticity estimation Recommender systems basics Personalization pipelines A/B testing in marketing Creative and message analytics CRM and CDP integration Privacy in marketing data Customer feedback mining

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/Customer and Marketing Analytics

Customer and Marketing Analytics

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Leverage analytics to understand customers, optimize spend, and personalize experiences.

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Customer feedback mining

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