國立高雄大學圖資館 |

Language: English

Back

Data science careers, training, and ...

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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science careers, training, and hiringby 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.
Published:	Cham :Springer International Publishing :2019.
Description:	xvii, 85 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big dataStudy and teaching.
Online resource:	https://doi.org/10.1007/978-3-030-22407-3
ISBN:	9783030224073$q(electronic bk.)

Data science careers, training, and hiringa 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. - Cham :Springer International Publishing :2019. - xvii, 85 p. :ill., digital ;24 cm. - 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$q(electronic bk.)

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

849290
Big data
--Study and teaching.

LC Class. No.: QA76.9.B45 / R395 2019

Dewey Class. No.: 005.7

Data science careers, training, and hiringa comprehensive guide to the data ecosystem : how to build a successful data science career, program, or unit /
LDR:03503nmm a2200337 a 4500 001 563634
003 DE-He213
005 20190802141930.0
006 m d
007 cr nn 008maaau
008 200311s2019 gw s 0 eng d
020 $a 9783030224073$q(electronic bk.)
020 $a 9783030224080$q(paper)
024 7 $a 10.1007/978-3-030-22407-3 $2 doi
035 $a 978-3-030-22407-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45 $b R395 2019
072 7 $a JNV $2 bicssc
072 7 $a EDU039000 $2 bisacsh
072 7 $a JNV $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b R259 2019
100 1 $a Rawlings-Goss, Renata. $3 849289
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xvii, 85 p. : $b ill., digital ; $c 24 cm.
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 Big data $x Study and teaching. $3 849290
650 0 $a Data mining $x Study and teaching. $3 677068
650 0 $a Technical education. $3 292262
650 1 4 $a Technology and Digital Education. $3 738994
650 2 4 $a Engineering/Technology Education. $3 725054
650 2 4 $a Job Careers in Science and Engineering. $3 307533
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in computer science. $3 559641
856 4 0 $u https://doi.org/10.1007/978-3-030-22407-3
950 $a Computer Science (Springer-11645)