東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Applied data science = data translat...

Woolford, Douglas G.

Linked to FindBook

Google Book

Amazon

博客來

Applied data science = data translators across the disciplines /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied data science/ edited by Douglas G. Woolford, Donna Kotsopoulos, Boba Samuels.
Reminder of title:	data translators across the disciplines /
other author:	Woolford, Douglas G.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	1 online resource (xii, 190 p.) :ill., digital ;24 cm.
[NT 15003449]:	Translating science into actionable policy information - a perspective on the IPCC process -- Data in Observational Astronomy -- On Becoming a Data-Scientist, Beyond Translation: Discovering Best Practices for Evidence-Informed Decision Making for Public Health Practices -- Concern for self-health during the COVID-19 pandemic in Canada: How to use quantitative data to tell an intersectional story?- Community-based participatory research and respondent-driven sampling: A statistician's, community partner's and students' perspectives on a successful partnership.
Contained By:	Springer Nature eBook
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-3-031-29937-7
ISBN:	9783031299377

Applied data science = data translators across the disciplines /
Applied data sciencedata translators across the disciplines /[electronic resource] :edited by Douglas G. Woolford, Donna Kotsopoulos, Boba Samuels. - Cham :Springer International Publishing :2023. - 1 online resource (xii, 190 p.) :ill., digital ;24 cm. - Studies in big data,v. 1252197-6511 ;. - Studies in big data ;v. 125..

Translating science into actionable policy information - a perspective on the IPCC process -- Data in Observational Astronomy -- On Becoming a Data-Scientist, Beyond Translation: Discovering Best Practices for Evidence-Informed Decision Making for Public Health Practices -- Concern for self-health during the COVID-19 pandemic in Canada: How to use quantitative data to tell an intersectional story?- Community-based participatory research and respondent-driven sampling: A statistician's, community partner's and students' perspectives on a successful partnership.

The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation.

ISBN: 9783031299377

Standard No.: 10.1007/978-3-031-29937-7doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Applied data science = data translators across the disciplines /
LDR:02663nmm a2200337 a 4500 001 2318836
003 DE-He213
005 20230509061657.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783031299377 $q (electronic bk.)
020 $a 9783031299360 $q (paper)
024 7 $a 10.1007/978-3-031-29937-7 $2 doi
035 $a 978-3-031-29937-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b A652 2023
245 0 0 $a Applied data science $h [electronic resource] : $b data translators across the disciplines / $c edited by Douglas G. Woolford, Donna Kotsopoulos, Boba Samuels.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a 1 online resource (xii, 190 p.) : $b ill., digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6511 ; $v v. 125
505 0 $a Translating science into actionable policy information - a perspective on the IPCC process -- Data in Observational Astronomy -- On Becoming a Data-Scientist, Beyond Translation: Discovering Best Practices for Evidence-Informed Decision Making for Public Health Practices -- Concern for self-health during the COVID-19 pandemic in Canada: How to use quantitative data to tell an intersectional story?- Community-based participatory research and respondent-driven sampling: A statistician's, community partner's and students' perspectives on a successful partnership.
520 $a The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation.
650 0 $a Big data. $3 2045508
650 0 $a Electronic data processing. $3 520749
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data. $3 3134868
700 1 $a Woolford, Douglas G. $3 3634204
700 1 $a Kotsopoulos, Donna. $3 3410118
700 1 $a Samuels, Boba. $3 3634205
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in big data ; $v v. 125. $3 3634206
856 4 0 $u https://doi.org/10.1007/978-3-031-29937-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)