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Index
Cover Harvard Business Review Guides Title Page HBR Press Quantity Sales Discounts Copyright What You’ll Learn Contents Introduction Section One. Getting Started
1. Keep Up with Your Quants 2. A Simple Exercise to Help You Think Like a Data Scientist
Section Two. Gather the Right Information
3. Do You Need All That Data? 4. How to Ask Your Data Scientists for Data and Analytics 5. How to Design a Business Experiment 6. Know the Difference Between Your Data and Your Metrics 7. The Fundamentals of A/B Testing 8. Can Your Data Be Trusted?
Section Three. Analyze the Data
9. A Predictive Analytics Primer 10. Understanding Regression Analysis 11. When to Act On a Correlation, and When Not To 12. Can Machine Learning Solve Your Business Problem? 13. A Refresher on Statistical Significance 14. Linear Thinking in a Nonlinear World 15. Pitfalls of Data-Driven Decisions 16. Don’t Let Your Analytics Cheat the Truth
Section Four. Communicate Your Findings
17. Data Is Worthless If You Don’t Communicate It 18. When Data Visualization Works—and When It Doesn’t 19. How to Make Charts That Pop and Persuade 20. Why It’s So Hard for Us to Communicate Uncertainty 21. Responding to Someone Who Challenges Your Data 22. Decisions Don’t Start with Data
Appendix: Data Scientist: The Sexiest Job of the 21st Century Index
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