國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Data sciencecreate teams that ask th...

Rose, Doug.

Data sciencecreate teams that ask the right questions and deliver real value /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data scienceby Doug Rose.
其他題名:	create teams that ask the right questions and deliver real value /
作者:	Rose, Doug.
出版者:	Berkeley, CA :Apress :2016.
面頁冊數:	xix, 251 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Teams in the workplace.
電子資源:	http://dx.doi.org/10.1007/978-1-4842-2253-9
ISBN:	9781484222539$q(electronic bk.)

Data sciencecreate teams that ask the right questions and deliver real value /
Rose, Doug.

Data sciencecreate teams that ask the right questions and deliver real value /[electronic resource] :by Doug Rose. - Berkeley, CA :Apress :2016. - xix, 251 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9781484222539$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-2253-9doiSubjects--Topical Terms:

184483
Teams in the workplace.

LC Class. No.: HD66

Dewey Class. No.: 658.4022

Data sciencecreate teams that ask the right questions and deliver real value /
LDR:03808nmm a2200313 a 4500 001 499756
003 DE-He213
005 20161117110641.0
006 m d
007 cr nn 008maaau
008 170621s2016 cau s 0 eng d
020 $a 9781484222539$q(electronic bk.)
020 $a 9781484222522$q(paper)
024 7 $a 10.1007/978-1-4842-2253-9 $2 doi
035 $a 978-1-4842-2253-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HD66
072 7 $a UMZ $2 bicssc
072 7 $a COM051230 $2 bisacsh
082 0 4 $a 658.4022 $2 23
090 $a HD66 $b .R795 2016
100 1 $a Rose, Doug. $3 762752
245 1 0 $a Data science $h [electronic resource] : $b create teams that ask the right questions and deliver real value / $c by Doug Rose.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2016.
300 $a xix, 251 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Teams in the workplace. $3 184483
650 0 $a Big data. $3 609582
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Software Engineering. $3 274511
650 2 4 $a Project Management. $3 515728
650 2 4 $a Big Data/Analytics. $3 742047
650 2 4 $a Software Management. $3 715554
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-2253-9
950 $a Computer Science (Springer-11645)