國立虎尾科技大學 |

Managing your data science projects = learn salesmanship, presentation, and maintenance of completed models /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Managing your data science projects/ by Robert de Graaf.
其他題名:	learn salesmanship, presentation, and maintenance of completed models /
作者:	De Graaf, Robert.
出版者:	Berkeley, CA :Apress : : 2019.,
面頁冊數:	xii, 144 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Database management. -
電子資源:	https://doi.org/10.1007/978-1-4842-4907-9
ISBN:	9781484249079

Managing your data science projects = learn salesmanship, presentation, and maintenance of completed models /
De Graaf, Robert.

Managing your data science projectslearn salesmanship, presentation, and maintenance of completed models /[electronic resource] :by Robert de Graaf. - Berkeley, CA :Apress :2019. - xii, 144 p. :ill., digital ;24 cm.

Chapter 1: Data Science Team Strategy -- Chapter 2: Data Science Strategy for Projects -- Chapter 3: Data Science Sales Technique -- Chapter 4: Believable Models -- Chapter 5: Reliable Models -- Chapter 6: Promoting Your Data Science Work -- Chapter 7: Team Efficiency -- Chapter 8: Afterword.

At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data science demands an interdisciplinary knowledge of business philosophy, project management, salesmanship, presentation, and more. In Managing Your Data Science Projects, author Robert de Graaf explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field. If your completed models are to be used and maintained most effectively, you must be able to present and sell them within your organization in a compelling way. The value of data science within an organization cannot be overstated. Thus, it is vital that strategies and communication between teams are dexterously managed. Three main ways that data science strategy is used in a company is to research its customers, assess risk analytics, and log operational measurements. These all require different managerial instincts, backgrounds, and experiences, and de Graaf cogently breaks down the unique reasons behind each. They must align seamlessly to eventually be adopted as dynamic models. Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed within an operational business as others. With Managing Your Data Science Projects, you will learn how to create products that solve important problems for your customers and ensure that the initial success is sustained throughout the product's intended life. Your users will trust you and your models, and most importantly, you will be a more well-rounded and effectual data scientist throughout your career.

ISBN: 9781484249079

Standard No.: 10.1007/978-1-4842-4907-9doiSubjects--Topical Terms:

557799
Database management.

LC Class. No.: QA76.9.D3 / D447 2019

Dewey Class. No.: 005.74068

Managing your data science projects = learn salesmanship, presentation, and maintenance of completed models /
LDR:03030nam a2200325 a 4500 001 941477
003 DE-He213
005 20190607181518.0
006 m d
007 cr nn 008maaau
008 200417s2019 cau s 0 eng d
020 $a 9781484249079 $q (electronic bk.)
020 $a 9781484249062 $q (paper)
024 7 $a 10.1007/978-1-4842-4907-9 $2 doi
035 $a 978-1-4842-4907-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3 $b D447 2019
072 7 $a UN $2 bicssc
072 7 $a COM021000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 005.74068 $2 23
090 $a QA76.9.D3 $b D321 2019
100 1 $a De Graaf, Robert. $3 1228762
245 1 0 $a Managing your data science projects $h [electronic resource] : $b learn salesmanship, presentation, and maintenance of completed models / $c by Robert de Graaf.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a xii, 144 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Data Science Team Strategy -- Chapter 2: Data Science Strategy for Projects -- Chapter 3: Data Science Sales Technique -- Chapter 4: Believable Models -- Chapter 5: Reliable Models -- Chapter 6: Promoting Your Data Science Work -- Chapter 7: Team Efficiency -- Chapter 8: Afterword.
520 $a At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data science demands an interdisciplinary knowledge of business philosophy, project management, salesmanship, presentation, and more. In Managing Your Data Science Projects, author Robert de Graaf explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field. If your completed models are to be used and maintained most effectively, you must be able to present and sell them within your organization in a compelling way. The value of data science within an organization cannot be overstated. Thus, it is vital that strategies and communication between teams are dexterously managed. Three main ways that data science strategy is used in a company is to research its customers, assess risk analytics, and log operational measurements. These all require different managerial instincts, backgrounds, and experiences, and de Graaf cogently breaks down the unique reasons behind each. They must align seamlessly to eventually be adopted as dynamic models. Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed within an operational business as others. With Managing Your Data Science Projects, you will learn how to create products that solve important problems for your customers and ensure that the initial success is sustained throughout the product's intended life. Your users will trust you and your models, and most importantly, you will be a more well-rounded and effectual data scientist throughout your career.
650 0 $a Database management. $3 557799
650 0 $a Big data. $3 981821
650 1 4 $a Big Data. $3 1017136
650 2 4 $a Big Data/Analytics. $3 1106909
650 2 4 $a Project Management. $3 787187
650 2 4 $a Business Strategy/Leadership. $3 796119
650 2 4 $a Careers in Business and Management. $3 1226762
650 2 4 $a Coaching. $3 1105670
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-4907-9
950 $a Professional and Applied Computing (Springer-12059)