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

12Operations, Pricing, and Optimization

13Data Storytelling, Visualization, and Influence

Narrative framing of insights Choosing the right chart Pre-attentive attributes Visual hierarchy and layout Decluttering techniques Annotations and callouts Designing for executives Story arcs and flow Slide design principles Live demos and dashboard walkthroughs Handling tough questions Writing effective data memos Data visualization ethics Communicating uncertainty Influencing without authority

14Productizing Analytics: MLOps and Deployment

15Measuring Impact, ROI, and Change Management

Courses/Data Science for Business Decision Making/Data Storytelling, Visualization, and Influence

Data Storytelling, Visualization, and Influence

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Communicate insights clearly and drive action across technical and business audiences.

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Choosing the right chart

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