797 records matched your query
02941aam a2200337Ii 4500 001 62ED48F4A7E711EB98937C0F4BECA4DB 003 SILO 005 20210428010042 008 200313s2019 sz a b 000 0 eng d 020 $a 3030224090 020 $a 9783030224097 035 $a (OCoLC)1144493783 040 $a GAT $b eng $e rda $c GAT $d BDX $d OCLCF $d USD $d IUL $d IND $d SILO 050 4 $a QA76.9.B45 $b R295 2019 100 1 $a Rawlings-Goss, Renata, $e author. 245 10 $a Data science careers, training, and hiring : $b a comprehensive guide to the data ecosystem : how to build a successful data science career, program, or unit / $c Renata Rawlings-Goss. 264 1 $a Cham, Switzerland : $b Springer, $c [2019] 300 $a xvii, 85 pages : $b illustrations ; $c 24 cm. 490 1 $a Springerbriefs in computer science, $x 2191-5768 504 $a Includes bibliographical references. 505 0 $a Introduction -- Building Data Careers -- Building Data Programs -- Building Data Talent and Workforce -- Conclusion. 520 $a . 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. $a -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 $a . 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. 650 0 $a Data mining $x Study and teaching. 650 0 $a Technical education. 650 7 $a Technical education. $2 fast $0 (OCoLC)fst01144838 830 0 $a SpringerBriefs in computer science 941 $a 1 952 $l UNUX074 $d 20210428013617.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=62ED48F4A7E711EB98937C0F4BECA4DB 994 $a Z0 $b NIUInitiate Another SILO Locator Search