Data Science : Create Teams That Ask the Right Questions and Deliver Real Value /

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Data Science : Create Teams That Ask the Right Questions and Deliver Real Value /

Detalles Bibliográficos
Autor principal:	Rose, Doug. (Autor)
Autor Corporativo:	SpringerLink (Online service)
Formato:	eBook
Lenguaje:	English
Publicado:	Berkeley, CA : Apress : Imprint: Apress, 2016.
Edición:	1st ed. 2016.
Materias:	Software engineering. Project management. Big data. Management information systems. Software Engineering. Project Management. Big Data/Analytics. Software Management.

Tabla de Contenidos:

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.- .