Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right questions to gain actionable insights into your business.

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.