Data Science Create Teams That Ask the Right Questions and Deliver Real Value /
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. Most organizations still focus on objectives and deliverables. Instead, a data science team is exploratory....
| Κύριος συγγραφέας: | |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berkeley, CA :
Apress : Imprint: Apress,
2016.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.- .
