The Data Science Framework (Record no. 176675)

MARC details
000 -LEADER
fixed length control field 03552nam a22006255i 4500
001 - CONTROL NUMBER
control field 978-3-030-51023-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423125323.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201001s2020 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030510237
-- 978-3-030-51023-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-51023-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D35
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q350-390
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code GPF
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM021000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMB
Source thema
072 #7 - SUBJECT CATEGORY CODE
Subject category code GPF
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.73
Edition number 23
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 003.54
Edition number 23
245 14 - TITLE STATEMENT
Title The Data Science Framework
Medium [electronic resource] :
Remainder of title A View from the EDISON Project /
Statement of responsibility, etc edited by Juan J. Cuadrado-Gallego, Yuri Demchenko.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 194 p. 35 illus., 31 illus. in color.
Other physical details online resource.
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-- online resource
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to the Data Science Framework -- Data Science Competences -- Data Science Body of Knowledge -- Data Science Curriculum -- Data Science Professional Profiles -- Use Cases and Applications -- App. A, Data Science Related Process Models.
520 ## - SUMMARY, ETC.
Summary, etc This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used todevelop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data structures (Computer science).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Professions.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element StatisticsĀ .
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Structures and Information Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element The Computing Profession.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cuadrado-Gallego, Juan J.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Demchenko, Yuri.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030510220
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030510244
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783030510251
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-51023-7">https://doi.org/10.1007/978-3-030-51023-7</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

No items available.

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