Data Science : Create Teams That Ask the Right Questions and Deliver Real Value - Rose, Doug.; SpringerLink (Online service) (Berkeley, CA : Apress : Imprint: Apress, 2016)
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.- .
Keywords: Software engineering; Project management; Big data; Management information systems; Software Engineering; Project Management; Big Data/Analytics.; Software Management