Part 1: Defining Data Science
Chapter 1: Understanding Data Science
Chapter 2: Covering Database Basics
Chapter 3: Recognizing Different Data Types
Chapter 4: Applying Statistical Analysis
Chapter 5: Avoiding Pitfalls in Defining Data Science
Part 2: Building your Data Science Team
Chapter 6: Rounding Out Your Talent
Chapter 7: Forming the Team
Chapter 8: Starting the Work
Chapter 9: Thinking Like a Data Science Team
Chapter 10: Avoiding Pitfalls in Building Your Data Science Team
Part 3: Delivering in Data Science Sprints
Chapter 11: A New Way of Working
Chapter 12: Using a Data Science Lifecycle
Chapter 13: Working in Sprints
Chapter 14: Avoiding Pitfalls in Delivering in Data Science Sprints
Part 4: Asking Great Questions
Chapter 15: Understanding Critical Thinking
Chapter 16: Encouraging Questions Chapter 17: Places to Look for Questions
Chapter 18: Avoiding Pitfalls in Asking Great Questions
Chapter 19: Defining a Story
Part 5: Storytelling with Data Science
Chapter 20: Understanding Story Structure
Chapter 21: Defining Story Details
Chapter 22: Humanizing Your Story
Chapter 23: Using Metaphors
Chapter 24: Avoiding Storytelling Pitfalls
Part 6: Finishing Up Chapter 25: Starting an Organizational Change
About the Author: Doug Rose specializes in organizational coaching, training, and change management. He has worked for over twenty years transforming organizations with technology and training and helping large companies optimize their business processes and improve productivity and delivery. He teaches business and project management courses at the University of Chicago, Syracuse University, and the University of Virginia, and he delivers his online Agile @Work business courses on Lynda.com. He is the author of Leading Agile Teams (PMI Press). Rose has an MS in Information Management and a JD from Syracuse University, and a BA from the University of Wisconsin-Madison.
