Data Science - Rose, Doug
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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. They use the scientific method to ask interesting questions and run small experiments. Your team needs to see if the data illuminate their questions. Then, they have to use critical thinking techniques to justify their insights and reasoning. They should pivot their efforts to keep their insights…mehr

Produktbeschreibung
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. They use the scientific method to ask interesting questions and run small experiments. Your team needs to see if the data illuminate their questions. Then, they have to use critical thinking techniques to justify their insights and reasoning. They should pivot their efforts to keep their insights aligned with business value. Finally, your team needs to deliver these insights as a compelling story. Insight!: How to Build Data Science Teams that Deliver Real Business Value shows that the most important thing you can do now is help your team think about data. Management coach Doug Rose walks you through the process of creating and managing effective data science teams. You will learn how to find the right people inside your organization and equip them with the right mindset. The book has three overarching concepts: You should mine your own company for talent. You can't change your organization by hiring a few data science superheroes. You should form small, agile-like data teams that focus on delivering valuable insights early and often. You can make real changes to your organization by telling compelling data stories. These stories are the best way to communicate your insights about your customers, challenges, and industry. What Your Will Learn: Create data science teams from existing talent in your organization to cost-efficiently extract maximum business value from your organization's data Understand key data science terms and concepts Follow practical guidance to create and integrate an effective data science team with key roles and the responsibilities for each team member Utilize the data science life cycle (DSLC) to model essential processes and practices for delivering value Use sprints and storytelling to help your team stay on track and adapt to new knowledge Who This Book Is For Data science project managers and team leaders. The secondary readership is data scientists, DBAs, analysts, senior management, HR managers, and performance specialists.
  • Produktdetails
  • Verlag: Springer, Berlin; Apress
  • Artikelnr. des Verlages: 978-1-4842-2252-2
  • 1st ed.
  • Erscheinungstermin: 18. November 2016
  • Englisch
  • Abmessung: 236mm x 156mm x 17mm
  • Gewicht: 439g
  • ISBN-13: 9781484222522
  • ISBN-10: 1484222520
  • Artikelnr.: 45756319
Autorenporträt
Doug Rose specializes in organizational coaching, training, and change management. He has worked for over twenty years transforming organizations with technology and training and helping large companies optimize their business processes and improve productivity and delivery. He teaches business and project management courses at the University of Chicago, Syracuse University, and the University of Virginia, and he delivers his online Agile @Work business courses on Lynda.com. He is the author of Leading Agile Teams (PMI Press). Rose has an MS in Information Management and a JD from Syracuse University, and a BA from the University of Wisconsin-Madison.
Inhaltsangabe
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
Rezensionen
"This fine book ... guides those responsible for building such a team on how to build the best possible data science team for her/his organization. ... It explains not only the internal workings of optimum data science teams, but also the activities that happen around such teams. ... a very useful book for managers who need to create and govern teams that handle data science in the best possible way for their organizations, without having to learn data science." (Computing Reviews, June, 2017)