Table of Contents

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   Book Overview
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   Chapter 1 Understanding Data Science
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   Chapter 2 Covering Database Basics
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   Chapter 3 Recognizing Different Data Types
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   Chapter 4 Applying Statistical Analysis
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   Chapter 5 Avoiding Pitfalls in Defining Data Science
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   Chapter 6 Rounding Out Your Talent
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   Chapter 7 Forming the Team
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   Chapter 8 Starting the Work
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    Chapter 9 Thinking Like a Data Science Team
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    Chapter 10 Avoiding Pitfalls in Building Your Data Science Team
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    Chapter 11 A New Way of Working
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    Chapter 12 Using a Data Science Life Cycle
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    Chapter 13 Working in Sprints
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    Chapter 14 Avoiding Pitfalls in Delivering in Data Science Sprints
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    Chapter 15 Understanding Critical Thinking
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    Chapter 16 Encouraging Questions
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    Chapter 17 Places to Look for Questions
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    Chapter 18 Avoiding Pitfalls in Asking Great Questions
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    Chapter 19 Defining a Story
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    Chapter 20 Understanding Story Structure
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    Chapter 21 Defining Story Details
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    Chapter 22 Humanizing Your Story
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    Chapter 23 Using Metaphors
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    Chapter 24 Avoiding Storytelling Pitfalls
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    Chapter 25 Starting an Organizational Change