國立虎尾科技大學 |

Data Science Careers, Training, and Hiring = A Comprehensive Guide to the Data Ecosystem: How to Build a Successful Data Science Career, Program, or Unit /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Science Careers, Training, and Hiring/ by Renata Rawlings-Goss.
Reminder of title:	A Comprehensive Guide to the Data Ecosystem: How to Build a Successful Data Science Career, Program, or Unit /
Author:	Rawlings-Goss, Renata.
Description:	XVII, 85 p. 3 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Educational technology. -
Online resource:	https://doi.org/10.1007/978-3-030-22407-3
ISBN:	9783030224073

Data Science Careers, Training, and Hiring = A Comprehensive Guide to the Data Ecosystem: How to Build a Successful Data Science Career, Program, or Unit /
Rawlings-Goss, Renata.

Data Science Careers, Training, and HiringA Comprehensive Guide to the Data Ecosystem: How to Build a Successful Data Science Career, Program, or Unit /[electronic resource] :by Renata Rawlings-Goss. - 1st ed. 2019. - XVII, 85 p. 3 illus.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.

Introduction -- Building Data Careers -- Building Data Programs -- Building Data Talent and Workforce -- Conclusion. .

This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build.

ISBN: 9783030224073

Standard No.: 10.1007/978-3-030-22407-3doiSubjects--Topical Terms:

556755
Educational technology.

LC Class. No.: LB1028.3

Dewey Class. No.: 371.33

Data Science Careers, Training, and Hiring = A Comprehensive Guide to the Data Ecosystem: How to Build a Successful Data Science Career, Program, or Unit /
LDR:03871nam a22004095i 4500 001 1003828
003 DE-He213
005 20200630041628.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030224073 $9 978-3-030-22407-3
024 7 $a 10.1007/978-3-030-22407-3 $2 doi
035 $a 978-3-030-22407-3
050 4 $a LB1028.3
072 7 $a JNV $2 bicssc
072 7 $a EDU039000 $2 bisacsh
072 7 $a JNV $2 thema
082 0 4 $a 371.33 $2 23
100 1 $a Rawlings-Goss, Renata. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1229126
245 1 0 $a Data Science Careers, Training, and Hiring $h [electronic resource] : $b A Comprehensive Guide to the Data Ecosystem: How to Build a Successful Data Science Career, Program, or Unit / $c by Renata Rawlings-Goss.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XVII, 85 p. 3 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Computer Science, $x 2191-5768
505 0 $a Introduction -- Building Data Careers -- Building Data Programs -- Building Data Talent and Workforce -- Conclusion. .
520 $a This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build.
650 0 $a Educational technology. $3 556755
650 0 $a Technical education. $3 563004
650 0 $a Engineering—Vocational guidance. $3 1256845
650 1 4 $a Technology and Digital Education. $3 1104027
650 2 4 $a Engineering/Technology Education. $3 1069125
650 2 4 $a Job Careers in Science and Engineering. $3 683892
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030224066
776 0 8 $i Printed edition: $z 9783030224080
776 0 8 $i Printed edition: $z 9783030224097
830 0 $a SpringerBriefs in Computer Science, $x 2191-5768 $3 1255334
856 4 0 $u https://doi.org/10.1007/978-3-030-22407-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)