Data Science

Part I. Defining Data Science

1. Understanding Data Science
Doug Rose

2. Covering Database Basics
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3. Recognizing Different Data Types
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4. Applying Statistical Analysis
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5. Avoiding Pitfalls in Defining Data Science
Doug Rose

Part II. Building Your Data Science Team

6. Rounding Out Your Talent
Doug Rose

7. Forming the Team
Doug Rose

8. Starting the Work
Doug Rose

9. Thinking Like a Data Science Team
Doug Rose

10. Avoiding Pitfalls in Building Your Data Science Team
Doug Rose

Part III. Delivering in Data Science Sprints

11. A New Way of Working
Doug Rose

12. Using a Data Science Life Cycle
Doug Rose

13. Working in Sprints
Doug Rose

14. Avoiding Pitfalls in Delivering in Data Science Sprints
Doug Rose

Part IV. Asking Great Questions

15. Understanding Critical Thinking
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16. Encouraging Questions
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17. Places to Look for Questions
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18. Avoiding Pitfalls in Asking Great Questions
Doug Rose

Part V. Storytelling with Data Science

19. Defining a Story
Doug Rose

20. Understanding Story Structure
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21. Defining Story Details
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22. Humanizing Your Story
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23. Using Metaphors
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24. Avoiding Storytelling Pitfalls
Doug Rose

Part VI. Finishing Up

25. Starting an Organizational Change
Doug Rose

Keywords: Computer Science, Software Engineering, Project Management, Big Data/Analytics, Software Management