
Data Science for Business: A Practical Guide to Turning Data Into Decisions, Strategy, and Competitive Advantage
Andrew McMillan
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Opening Credits
1/10/2026
Chapter 1: Beyond the Buzzwords What Data Science Really Means for Business
1/10/2026
Chapter 2: From Questions to Value Where Data Science Actually Pays Off
1/10/2026
Chapter 3: Building on Bedrock Data Foundations, Quality, and Metrics That Matter
1/10/2026
Chapter 4: The Data Project Journey From Idea to Impact
1/10/2026
Chapter 5: Learning by Testing Experimentation and A B Testing in Plain Language
1/10/2026
Chapter 6: Seeing Around Corners Forecasting and Planning with Data
1/10/2026
Chapter 7: Knowing Your Customers Segmentation for Strategy and Focus
1/10/2026
Chapter 8: One to One at Scale Personalization and Recommendation
1/10/2026
Chapter 9: People, Teams, and Culture Leading in a Data Informed Organization
1/10/2026
Chapter 10: Doing Data Science Responsibly Ethics, Trust, and Your First Ninety Days
1/10/2026
Closing Credits
1/10/2026