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by Harvard Business Review
HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)
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Harvard Business Review Guides
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HBR Press Quantity Sales Discounts
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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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HBR Guide to
Data Analytics Basics for Managers
HARVARD BUSINESS REVIEW PRESS
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