HBR Guide to Data Analytics Basics for Managers

Copyright......Page 5
What You'll Learn......Page 6
Contents......Page 8
Introduction......Page 12
Section 1: Getting Started......Page 22
Chapter 1: Keep Up with Your Quants......Page 24
Ch 2: A Simple Exercise to Help You Think Like a Data Scientist......Page 36
Section 2: Gather the Right Information......Page 42
Ch 3: Do You Need All That Data?......Page 44
Ch 4: How to Ask Your Data Scientists for Data and Analytics......Page 48
Ch 5: How to Design a Business Experiment......Page 56
Ch 6: Know the Difference Between Your Data and Your Metrics......Page 62
Ch 7: The Fundamentals of A/B Testing......Page 70
Ch 8: Can Your Data Be Trusted?......Page 82
Section 3: Analyze the Data......Page 90
Chapter 9: A Predictive Analytics Primer......Page 92
Ch 10: Understanding Regression Analysis......Page 98
Ch 11: When to Act On a Correlation, and When Not To......Page 114
Ch 12: Can Machine Learning Solve Your Business Problem?......Page 122
Ch 13: A Refresher on Statistical Significance......Page 132
Ch 14: Linear Thinking in a Nonlinear World......Page 142
Ch 15: Pitfalls of Data-Driven Decisions......Page 166
Ch 16: Don't Let Your Analytics Cheat the Truth......Page 176
Section 4: Communicate Your Findings......Page 182
Ch 17: Data Is Worthless If You Don't Communicate It......Page 184
Ch 18: When Data Visualization Works--and When It Doesn't......Page 188
Ch 19: how to Make Charts That Pop and Persuade......Page 194
Ch 20: Why It's So Hard for Us to Communicate Uncertainty......Page 202
Ch 21: Responding to Someone Who Challenges Your Data......Page 210
Ch 22: Decisions Don't Start with Data......Page 216
Appendix: Data Scientist: The Sexiest Job of the 21st Century......Page 220
Index......Page 236