Data analytic literacy:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
[Berlin]
De Gruyter
[2023]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XII, 253 Seiten Illustrationen, Diagramme |
| ISBN: | 9783110999754 |
Internformat
MARC
| LEADER | 00000nam a22000008c 4500 | ||
|---|---|---|---|
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| 020 | |a 9783110999754 |c : EUR 34.95 (DE) (freier Preis), EUR 34.95 (AT) (freier Preis) |9 978-3-11-099975-4 | ||
| 024 | 3 | |a 9783110999754 | |
| 035 | |a (OCoLC)1394972487 | ||
| 035 | |a (DE-599)DNB1283835967 | ||
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| 100 | 1 | |a Banasiewicz, Andrew D. |e Verfasser |0 (DE-588)1184815836 |4 aut | |
| 245 | 1 | 0 | |a Data analytic literacy |c Andrew Banasiewicz |
| 264 | 1 | |a [Berlin] |b De Gruyter |c [2023] | |
| 300 | |a XII, 253 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Fähigkeit |0 (DE-588)4153521-2 |2 gnd |9 rswk-swf |
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| 650 | 0 | 7 | |a Wissensmanagement |0 (DE-588)4561842-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Data Science |0 (DE-588)1140936166 |2 gnd |9 rswk-swf |
| 653 | |a Geschäftsanalysen | ||
| 653 | |a Datenanalyse | ||
| 653 | |a Datenwissenschaft | ||
| 653 | |a Business Analytics | ||
| 653 | |a Data-Driven | ||
| 653 | |a Decision-Making | ||
| 653 | |a Applied | ||
| 653 | |a Data Analytics | ||
| 653 | |a Learning with Data | ||
| 653 | |a Data Science. | ||
| 653 | |a TB: Textbook | ||
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-034344486 | ||
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Datensatz im Suchindex
| _version_ | 1804185411155656704 |
|---|---|
| adam_text | CONTENTS
PREFACE
-
VII
ABOUT
THE
AUTHOR
-
XIII
PART
I:
LITERACY
IN
THE
DIGITAL
WORLD
CHAPTER
1
LITERACY
AND
NUMERACY
AS
FOUNDATIONS
OF
MODERN
SOCIETIES
-
5
THE
NOTIONS
OF
LITERACY
AND
NUMERACY
-
6
QUANTITATIVE
LITERACY
-
7
DATA
LITERACY
-
9
DIGITAL
LITERACY
-
10
LITERACY
IN
THE
DIGITAL
AGE
-
13
ON
BEING
DIGITAL
AGE
LITERATE
-
14
THE
MANY
FACES
OF
DIGITAL
LITERACY
-
15
RECONCEPTUALIZING
DIGITAL
LITERACY
-
16
KNOWLEDGE
VS.
SKILLS
-
20
CHAPTER
2
REFRAMING
THE
IDEA
OF
DIGITAL
LITERACY
-
25
THE
DIGITAL
REVOLUTION
-
26
COMMUNICATION
IN
THE
DIGITAL
AGE
-
27
UNDERSTANDING
DATA
-
29
CLASSIFYING
DATA
-
30
TOWARD
A
GENERAL
TYPOLOGY
OF
DATA
-
31
SUPPORTING
CONSIDERATIONS
-
32
THE
METACONCEPT
OF
DATA
ANALYTIC
LITERACY
-
35
FRAMING
DATA
ANALYTIC
LITERACY
-
37
PART
II:
THE
STRUCTURE
OF
DATA
ANALYTIC
LITERACY
CHAPTER
3
DATA
ANALYTIC
LITERACY:
THE
KNOWLEDGE
META-DOMAIN
-
45
THE
ESSENCE
OF
KNOWING
-
46
ANALYTIC
REASONING
-
48
HUMAN
LEARNING
-
49
THE
KNOWLEDGE
META-DOMAIN
-
52
THE
DOMAIN
OF
CONCEPTUAL
KNOWLEDGE
-
53
X
-
CONTENTS
CHAPTER
4
KNOWLEDGE
OF
DATA
-
55
DATA
TYPES
----
57
WHAT
IS
DATA?
----
57
DATA
AS
RECORDINGS
OF
EVENTS
AND
STATES
-
58
ENCODING
AND
MEASUREMENT
-
61
ORGANIZATIONAL
SCHEMA
-
63
DATA
ORIGIN
----
64
GENERAL
DATA
SOURCES
----
64
SIMPLIFYING
THE
UNIVERSE
OF
DATA:
GENERAL
DATA
CLASSIFICATION
TYPOLOGY
-
67
CHAPTER
5
KNOWLEDGE
OF
METHODS
-
70
DATA
PROCESSING
----
71
DATA
ELEMENT
LEVEL:
REVIEW
AND
REPAIR
----
73
DATA
TABLE
LEVEL:
MODIFICATION
AND
ENHANCEMENT
----
74
DATA
REPOSITORY
LEVEL:
CONSISTENCY
AND
LINKAGES
----
76
DATA
ANALYSES:
THE
GENESIS
-
78
DATA
ANALYSES:
DIRECT
HUMAN
LEARNING
----
79
EXPLORATORY
ANALYSES
----
83
EXPLORING
CONTINUOUS
VALUES
-
85
EXPLORING
ASSOCIATIONS
-
90
THE
VAGARIES
OF
STATISTICAL
SIGNIFICANCE
----
94
CONFIRMATORY
ANALYSES
----
95
THE
IMPORTANCE
OF
RIGHTSIZING
-
97
THE
QUESTION
OF
REPRESENTATIVENESS
----
99
CHAPTER
6
DATA
ANALYTIC
LITERACY:
THE
SKILLS
META-DOMAIN
-
102
SKILL
ACQUISITION
----
103
SKILL
APPROPRIATENESS
AND
PERPETUATION
-
105
THE
SKILLS
META-DOMAIN
----
107
CHAPTER
7
COMPUTING
SKILLS
-
110
THE
ECOSYSTEM
OF
DATA
TOOLS
----
111
COMPREHENSIVE
DATA
ANALYTIC
TOOLS
----
114
LIMITED-PURPOSE
DATA
ANALYTIC
TOOLS
-
116
STRUCTURAL
COMPUTING
SKILLS
----
119
SOME
GENERAL
CONSIDERATIONS
-
120
ACCESSING
AND
EXTRACTING
DATA
-
122
TRANSFORMING
RAW
DATA
TO
ANALYSIS-READY
DATASETS
----
123
CONTENTS
-
XI
DATA
FEATURE
ENGINEERING
-
123
DATA
TABLE
ENGINEERING
-
126
DATA
CONSISTENCY
ENGINEERING
-
137
ENRICHING
INFORMATIONAL
CONTENTS
OF
DATA
-
141
INFORMATIONAL
COMPUTING
SKILLS
-
144
CHOOSING
DATA
ANALYTIC
TOOLS
-
145
COMPUTING
DATA
ANALYTIC
OUTCOMES
-
146
CHAPTER
8
SENSEMAKING
SKILLS
-
148
FACTUAL
SKILLS:
DESCRIPTIVE
ANALYTIC
OUTCOMES
-
149
KEY
CONSIDERATIONS
-
150
DATA
STORYTELLING
-
152
VISUAL
DATA
STORYTELLING
-
155
INFERENTIAL
SKILLS:
PROBABILISTIC
DATA
ANALYTIC
OUTCOMES
-
159
PROBABILISTIC
THINKING
-
160
MENTAL
MODELS
-
161
PROBABILISTIC
INFERENCE
-
162
INTERPRETING
PROBABILISTIC
OUTCOMES
-
164
ASSESSING
THE
EFFICACY
OF
PROBABILISTIC
RESULTS
-
165
STATISTICAL
SIGNIFICANCE
-
165
EFFECT
SIZE
-
168
MAKING
SENSE
OF
NON-NUMERIC
OUTCOMES
-
172
THE
TEXT
MINING
PARADOX
----
174
SENSEMAKING
SKILLS:
A
RECAP
-
176
PART
III:
THE
TRANSFORMATIONAL
VALUE
OF
DATA
ANALYTIC
LITERACY
CHAPTER
9
RIGHT
HERE,
RIGHT
NOW:
DATA-DRIVEN
DECISION-MAKING
-
183
BOLSTERING
INTUITIVE
SENSEMAKING
-
185
CREATIVE
PROBLEM-SOLVING
AND
DEDUCTIVE
VS.
INDUCTIVE
INFERENCE
----
187
CASTING
A
WIDER
NET:
EVIDENCE-BASED
DECISION-MAKING
-
190
WHAT
IS
EVIDENCE?
-
192
TRANSFORMING
DATA
INTO
EVIDENCE
-
193
MINI
CASE
STUDY
1:
BASELINING
THE
RISK
OF
SECURITIES
LITIGATION
-
194
AGGREGATE
FREQUENCY
AND
SEVERITY
-
195
MINI
CASE
STUDY
2:
BENCHMARKING
THE
RISK
OF
SECURITIES
LITIGATION
-
198
INDUSTRY
DEFINITION
AND
DATA
RECENCY
-
199
RECENT
CROSS-INDUSTRY
SCA
TRENDS
-
202
BENCHMARKING
COMPANY-SPECIFIC
SCA
EXPOSURE
-
203
XII
-
CONTENTS
CHAPTER
10
GOING
BEYOND:
BRIDGING
DATA
ANALYTICS
AND
CREATIVITY
-
207
SENSEMAKING
IN
THE
AGE
OF
DATA
-
209
THE
ESSENCE
OF
INTELLIGENCE
-
210
CHIPPING
AWAY
..
.
----
213
INTELLIGENCE
AND
CONSCIOUSNESS
-
213
DATA
AND
CREATIVITY
-
215
CO-JOINED
SIMULATIONS
-
217
A
DEEPER
DIVE
INTO
CREATIVITY
----
218
BREAKING
THROUGH
----
221
ORGANIC
VS.
AUGMENTED
-
225
TRANSCENDING
REALITY
WITH
DATA
-
228
SYMBOLIC
DATA
ANALYSIS
AND
VISUALIZATION
-
230
SDA
AND
BIG
DATA
----
232
SOME
CLOSING
THOUGHTS
-
240
DATA
ANALYTIC
LITERACY:
A
SYNOPSIS
-
242
LIST
OF
FIGURES
-
245
LIST
OF
TABLES
-
247
INDEX
-----249
|
| adam_txt |
CONTENTS
PREFACE
-
VII
ABOUT
THE
AUTHOR
-
XIII
PART
I:
LITERACY
IN
THE
DIGITAL
WORLD
CHAPTER
1
LITERACY
AND
NUMERACY
AS
FOUNDATIONS
OF
MODERN
SOCIETIES
-
5
THE
NOTIONS
OF
LITERACY
AND
NUMERACY
-
6
QUANTITATIVE
LITERACY
-
7
DATA
LITERACY
-
9
DIGITAL
LITERACY
-
10
LITERACY
IN
THE
DIGITAL
AGE
-
13
ON
BEING
DIGITAL
AGE
LITERATE
-
14
THE
MANY
FACES
OF
DIGITAL
LITERACY
-
15
RECONCEPTUALIZING
DIGITAL
LITERACY
-
16
KNOWLEDGE
VS.
SKILLS
-
20
CHAPTER
2
REFRAMING
THE
IDEA
OF
DIGITAL
LITERACY
-
25
THE
DIGITAL
REVOLUTION
-
26
COMMUNICATION
IN
THE
DIGITAL
AGE
-
27
UNDERSTANDING
DATA
-
29
CLASSIFYING
DATA
-
30
TOWARD
A
GENERAL
TYPOLOGY
OF
DATA
-
31
SUPPORTING
CONSIDERATIONS
-
32
THE
METACONCEPT
OF
DATA
ANALYTIC
LITERACY
-
35
FRAMING
DATA
ANALYTIC
LITERACY
-
37
PART
II:
THE
STRUCTURE
OF
DATA
ANALYTIC
LITERACY
CHAPTER
3
DATA
ANALYTIC
LITERACY:
THE
KNOWLEDGE
META-DOMAIN
-
45
THE
ESSENCE
OF
KNOWING
-
46
ANALYTIC
REASONING
-
48
HUMAN
LEARNING
-
49
THE
KNOWLEDGE
META-DOMAIN
-
52
THE
DOMAIN
OF
CONCEPTUAL
KNOWLEDGE
-
53
X
-
CONTENTS
CHAPTER
4
KNOWLEDGE
OF
DATA
-
55
DATA
TYPES
----
57
WHAT
IS
DATA?
----
57
DATA
AS
RECORDINGS
OF
EVENTS
AND
STATES
-
58
ENCODING
AND
MEASUREMENT
-
61
ORGANIZATIONAL
SCHEMA
-
63
DATA
ORIGIN
----
64
GENERAL
DATA
SOURCES
----
64
SIMPLIFYING
THE
UNIVERSE
OF
DATA:
GENERAL
DATA
CLASSIFICATION
TYPOLOGY
-
67
CHAPTER
5
KNOWLEDGE
OF
METHODS
-
70
DATA
PROCESSING
----
71
DATA
ELEMENT
LEVEL:
REVIEW
AND
REPAIR
----
73
DATA
TABLE
LEVEL:
MODIFICATION
AND
ENHANCEMENT
----
74
DATA
REPOSITORY
LEVEL:
CONSISTENCY
AND
LINKAGES
----
76
DATA
ANALYSES:
THE
GENESIS
-
78
DATA
ANALYSES:
DIRECT
HUMAN
LEARNING
----
79
EXPLORATORY
ANALYSES
----
83
EXPLORING
CONTINUOUS
VALUES
-
85
EXPLORING
ASSOCIATIONS
-
90
THE
VAGARIES
OF
STATISTICAL
SIGNIFICANCE
----
94
CONFIRMATORY
ANALYSES
----
95
THE
IMPORTANCE
OF
RIGHTSIZING
-
97
THE
QUESTION
OF
REPRESENTATIVENESS
----
99
CHAPTER
6
DATA
ANALYTIC
LITERACY:
THE
SKILLS
META-DOMAIN
-
102
SKILL
ACQUISITION
----
103
SKILL
APPROPRIATENESS
AND
PERPETUATION
-
105
THE
SKILLS
META-DOMAIN
----
107
CHAPTER
7
COMPUTING
SKILLS
-
110
THE
ECOSYSTEM
OF
DATA
TOOLS
----
111
COMPREHENSIVE
DATA
ANALYTIC
TOOLS
----
114
LIMITED-PURPOSE
DATA
ANALYTIC
TOOLS
-
116
STRUCTURAL
COMPUTING
SKILLS
----
119
SOME
GENERAL
CONSIDERATIONS
-
120
ACCESSING
AND
EXTRACTING
DATA
-
122
TRANSFORMING
RAW
DATA
TO
ANALYSIS-READY
DATASETS
----
123
CONTENTS
-
XI
DATA
FEATURE
ENGINEERING
-
123
DATA
TABLE
ENGINEERING
-
126
DATA
CONSISTENCY
ENGINEERING
-
137
ENRICHING
INFORMATIONAL
CONTENTS
OF
DATA
-
141
INFORMATIONAL
COMPUTING
SKILLS
-
144
CHOOSING
DATA
ANALYTIC
TOOLS
-
145
COMPUTING
DATA
ANALYTIC
OUTCOMES
-
146
CHAPTER
8
SENSEMAKING
SKILLS
-
148
FACTUAL
SKILLS:
DESCRIPTIVE
ANALYTIC
OUTCOMES
-
149
KEY
CONSIDERATIONS
-
150
DATA
STORYTELLING
-
152
VISUAL
DATA
STORYTELLING
-
155
INFERENTIAL
SKILLS:
PROBABILISTIC
DATA
ANALYTIC
OUTCOMES
-
159
PROBABILISTIC
THINKING
-
160
MENTAL
MODELS
-
161
PROBABILISTIC
INFERENCE
-
162
INTERPRETING
PROBABILISTIC
OUTCOMES
-
164
ASSESSING
THE
EFFICACY
OF
PROBABILISTIC
RESULTS
-
165
STATISTICAL
SIGNIFICANCE
-
165
EFFECT
SIZE
-
168
MAKING
SENSE
OF
NON-NUMERIC
OUTCOMES
-
172
THE
TEXT
MINING
PARADOX
----
174
SENSEMAKING
SKILLS:
A
RECAP
-
176
PART
III:
THE
TRANSFORMATIONAL
VALUE
OF
DATA
ANALYTIC
LITERACY
CHAPTER
9
RIGHT
HERE,
RIGHT
NOW:
DATA-DRIVEN
DECISION-MAKING
-
183
BOLSTERING
INTUITIVE
SENSEMAKING
-
185
CREATIVE
PROBLEM-SOLVING
AND
DEDUCTIVE
VS.
INDUCTIVE
INFERENCE
----
187
CASTING
A
WIDER
NET:
EVIDENCE-BASED
DECISION-MAKING
-
190
WHAT
IS
EVIDENCE?
-
192
TRANSFORMING
DATA
INTO
EVIDENCE
-
193
MINI
CASE
STUDY
1:
BASELINING
THE
RISK
OF
SECURITIES
LITIGATION
-
194
AGGREGATE
FREQUENCY
AND
SEVERITY
-
195
MINI
CASE
STUDY
2:
BENCHMARKING
THE
RISK
OF
SECURITIES
LITIGATION
-
198
INDUSTRY
DEFINITION
AND
DATA
RECENCY
-
199
RECENT
CROSS-INDUSTRY
SCA
TRENDS
-
202
BENCHMARKING
COMPANY-SPECIFIC
SCA
EXPOSURE
-
203
XII
-
CONTENTS
CHAPTER
10
GOING
BEYOND:
BRIDGING
DATA
ANALYTICS
AND
CREATIVITY
-
207
SENSEMAKING
IN
THE
AGE
OF
DATA
-
209
THE
ESSENCE
OF
INTELLIGENCE
-
210
CHIPPING
AWAY
.
.
----
213
INTELLIGENCE
AND
CONSCIOUSNESS
-
213
DATA
AND
CREATIVITY
-
215
CO-JOINED
SIMULATIONS
-
217
A
DEEPER
DIVE
INTO
CREATIVITY
----
218
BREAKING
THROUGH
----
221
ORGANIC
VS.
AUGMENTED
-
225
TRANSCENDING
REALITY
WITH
DATA
-
228
SYMBOLIC
DATA
ANALYSIS
AND
VISUALIZATION
-
230
SDA
AND
BIG
DATA
----
232
SOME
CLOSING
THOUGHTS
-
240
DATA
ANALYTIC
LITERACY:
A
SYNOPSIS
-
242
LIST
OF
FIGURES
-
245
LIST
OF
TABLES
-
247
INDEX
-----249 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Banasiewicz, Andrew D. |
| author_GND | (DE-588)1184815836 |
| author_facet | Banasiewicz, Andrew D. |
| author_role | aut |
| author_sort | Banasiewicz, Andrew D. |
| author_variant | a d b ad adb |
| building | Verbundindex |
| bvnumber | BV049082599 |
| classification_rvk | ST 530 QH 230 QH 500 QP 345 |
| ctrlnum | (OCoLC)1394972487 (DE-599)DNB1283835967 |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV049082599 |
| illustrated | Illustrated |
| index_date | 2024-07-03T22:28:07Z |
| indexdate | 2024-07-10T09:54:48Z |
| institution | BVB |
| institution_GND | (DE-588)10095502-2 |
| isbn | 9783110999754 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034344486 |
| oclc_num | 1394972487 |
| open_access_boolean | |
| owner | DE-11 DE-634 DE-355 DE-BY-UBR DE-20 DE-703 DE-19 DE-BY-UBM |
| owner_facet | DE-11 DE-634 DE-355 DE-BY-UBR DE-20 DE-703 DE-19 DE-BY-UBM |
| physical | XII, 253 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | De Gruyter |
| record_format | marc |
| spelling | Banasiewicz, Andrew D. Verfasser (DE-588)1184815836 aut Data analytic literacy Andrew Banasiewicz [Berlin] De Gruyter [2023] XII, 253 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Fähigkeit (DE-588)4153521-2 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Wissensmanagement (DE-588)4561842-2 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Geschäftsanalysen Datenanalyse Datenwissenschaft Business Analytics Data-Driven Decision-Making Applied Data Analytics Learning with Data Data Science. TB: Textbook Wissensmanagement (DE-588)4561842-2 s Data Science (DE-588)1140936166 s Datenanalyse (DE-588)4123037-1 s Fähigkeit (DE-588)4153521-2 s DE-604 Walter de Gruyter GmbH & Co. KG (DE-588)10095502-2 pbl Erscheint auch als Online-Ausgabe, EPUB 978-3-11-100176-0 Erscheint auch als Online-Ausgabe, PDF 978-3-11-100167-8 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034344486&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20230319 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Banasiewicz, Andrew D. Data analytic literacy Fähigkeit (DE-588)4153521-2 gnd Datenanalyse (DE-588)4123037-1 gnd Wissensmanagement (DE-588)4561842-2 gnd Data Science (DE-588)1140936166 gnd |
| subject_GND | (DE-588)4153521-2 (DE-588)4123037-1 (DE-588)4561842-2 (DE-588)1140936166 |
| title | Data analytic literacy |
| title_auth | Data analytic literacy |
| title_exact_search | Data analytic literacy |
| title_exact_search_txtP | Data analytic literacy |
| title_full | Data analytic literacy Andrew Banasiewicz |
| title_fullStr | Data analytic literacy Andrew Banasiewicz |
| title_full_unstemmed | Data analytic literacy Andrew Banasiewicz |
| title_short | Data analytic literacy |
| title_sort | data analytic literacy |
| topic | Fähigkeit (DE-588)4153521-2 gnd Datenanalyse (DE-588)4123037-1 gnd Wissensmanagement (DE-588)4561842-2 gnd Data Science (DE-588)1140936166 gnd |
| topic_facet | Fähigkeit Datenanalyse Wissensmanagement Data Science |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034344486&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT banasiewiczandrewd dataanalyticliteracy AT walterdegruytergmbhcokg dataanalyticliteracy |