|
|
|
|
| LEADER |
04380cam a2200685 4500 |
| 001 |
183-1761602926 |
| 003 |
DE-627 |
| 005 |
20240423143209.0 |
| 007 |
tu |
| 008 |
210630s2022 xxu||||| 00| ||eng c |
| 020 |
|
|
|a 9781544370453
|c paperback
|9 978-1-5443-7045-3
|
| 020 |
|
|
|a 1544370458
|c paperback
|9 1-5443-7045-8
|
| 035 |
|
|
|a (DE-627)1761602926
|
| 035 |
|
|
|a (DE-599)KXP1761602926
|
| 035 |
|
|
|a (OCoLC)1264265127
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rda
|
| 041 |
|
|
|a eng
|
| 044 |
|
|
|c XD-US
|
| 050 |
|
0 |
|a HF5548.2
|
| 082 |
0 |
|
|a 658.4/0380285513
|
| 082 |
0 |
|
|a 650.015195
|
| 084 |
|
|
|a ST 530
|2 rvk
|0 (DE-625)rvk/143679:
|
| 084 |
|
|
|a 85.20
|2 bkl
|
| 084 |
|
|
|a 54.53
|2 bkl
|
| 100 |
1 |
|
|a Saltz, Jeffrey S.
|e VerfasserIn
|4 aut
|
| 245 |
1 |
0 |
|a Data science for business with R
|c Jeffrey S. Saltz, Jeffrey M. Stanton
|
| 264 |
|
1 |
|a Los Angeles
|b SAGE Publications, Inc
|c [2022]
|
| 300 |
|
|
|a xxxii, 389 Seiten
|b Illustrationen
|c 24 cm
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
| 338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
| 500 |
|
|
|a Includes bibliographical references and index
|
| 520 |
|
|
|a Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available.
|
| 520 |
|
|
|a Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field.
|
| 650 |
|
7 |
|8 1.1\x
|a Datenverarbeitung
|0 (DE-627)091354463
|0 (DE-2867)15606-3
|2 stw
|
| 650 |
|
7 |
|8 1.2\x
|a Programmiersprache
|0 (DE-627)091384699
|0 (DE-2867)15619-1
|2 stw
|
| 650 |
|
4 |
|8 1.3\x
|a Data science
|2 stw
|
| 650 |
|
0 |
|a Business
|x Data processing
|
| 650 |
|
0 |
|a R (Computer program language)
|
| 650 |
|
0 |
|a Commercial statistics
|
| 650 |
|
4 |
|a Business ; Data processing
|
| 650 |
|
4 |
|a Commercial statistics
|
| 650 |
|
4 |
|a R (Computer program language)
|
| 655 |
|
4 |
|0 (DE-206)28
|a Lehrbuch
|5 DE-206
|
| 689 |
0 |
0 |
|D s
|0 (DE-588)4069402-1
|0 (DE-627)106103520
|0 (DE-576)209176709
|a Betriebswirtschaftslehre
|2 gnd
|
| 689 |
0 |
1 |
|D s
|0 (DE-588)1140936166
|0 (DE-627)898774306
|0 (DE-576)494140666
|a Data Science
|2 gnd
|
| 689 |
0 |
2 |
|D s
|0 (DE-588)4705956-4
|0 (DE-627)356147487
|0 (DE-576)215406362
|a R
|g Programm
|2 gnd
|
| 689 |
0 |
|
|5 (DE-627)
|
| 700 |
1 |
|
|a Stanton, Jeffrey M.
|d 1961-
|e VerfasserIn
|0 (DE-588)113939326X
|0 (DE-627)897142039
|0 (DE-576)493256016
|4 aut
|
| 776 |
1 |
|
|z 9781544370460
|c electronic publication
|
| 776 |
1 |
|
|z 9781544370460
|
| 856 |
4 |
2 |
|u https://www.gbv.de/dms/zbw/1761602926.pdf
|m V:DE-601
|m B:DE-206
|q pdf/application
|3 Inhaltsverzeichnis
|
| 924 |
0 |
|
|a 3946314643
|b DE-206
|9 206
|c GBV
|d c
|g A21-2417
|h H:
|
| 924 |
0 |
|
|a 3942583402
|b DE-27
|9 27
|c GBV
|d c
|g WIR:GR:100:S792::2022
|h J 142
|
| 924 |
0 |
|
|a 4130308718
|b DE-Pl11
|9 Pl 11
|c BSZ
|d c
|g ST530 Dat D232 <1>
|h PL
|
| 936 |
r |
v |
|a ST 530
|b Data-warehouse-Konzept; Data mining
|k Informatik
|k Monografien
|k Einzelne Anwendungen der Datenverarbeitung
|k Wirtschaftsinformatik
|k Data-warehouse-Konzept; Data mining
|0 (DE-627)1272555585
|0 (DE-625)rvk/143679:
|0 (DE-576)202555585
|
| 936 |
b |
k |
|a 85.20
|j Betriebliche Information und Kommunikation
|0 (DE-627)106414704
|
| 936 |
b |
k |
|a 54.53
|j Programmiersprachen
|0 (DE-627)106418890
|
| 951 |
|
|
|a BO
|
| 980 |
|
|
|a 1761602926
|b 183
|c sid-183-col-kxpbbi
|
SOLR
| _version_ |
1797788625740496896 |
| author |
Saltz, Jeffrey S., Stanton, Jeffrey M. |
| author_facet |
Saltz, Jeffrey S., Stanton, Jeffrey M. |
| author_role |
aut, aut |
| author_sort |
Saltz, Jeffrey S. |
| author_variant |
j s s js jss, j m s jm jms |
| building |
Library A |
| callnumber-first |
H - Social Science |
| callnumber-label |
HF5548 |
| callnumber-raw |
HF5548.2 |
| callnumber-search |
HF5548.2 |
| callnumber-sort |
HF 45548.2 |
| callnumber-subject |
HF - Commerce |
| collection |
sid-183-col-kxpbbi |
| contents |
Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available., Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field. |
| ctrlnum |
(DE-627)1761602926, (DE-599)KXP1761602926, (OCoLC)1264265127 |
| dewey-full |
658.4/0380285513, 650.015195 |
| dewey-hundreds |
600 - Technology (Applied sciences) |
| dewey-ones |
658 - General management, 650 - Management and auxiliary services |
| dewey-raw |
658.4/0380285513, 650.015195 |
| dewey-search |
658.4/0380285513, 650.015195 |
| dewey-sort |
3658.4 9380285513 |
| dewey-tens |
650 - Management and auxiliary services |
| facet_avail |
Local |
| facet_local_del330 |
Betriebswirtschaftslehre, Data Science, R |
| finc_class_facet |
Informatik, Technik, Wirtschaftswissenschaften |
| fincclass_txtF_mv |
science-computerscience, economics |
| footnote |
Includes bibliographical references and index |
| format |
Book |
| format_access_txtF_mv |
Book, E-Book |
| format_de14 |
Book, E-Book |
| format_de15 |
Book, E-Book |
| format_del152 |
Buch |
| format_detail_txtF_mv |
text-print-monograph-independent |
| format_dezi4 |
e-Book |
| format_finc |
Book, E-Book |
| format_legacy |
Book |
| format_legacy_nrw |
Book, E-Book |
| format_nrw |
Book, E-Book |
| format_strict_txtF_mv |
Book |
| genre |
(DE-206)28 Lehrbuch DE-206 |
| genre_facet |
Lehrbuch |
| geogr_code |
not assigned |
| geogr_code_person |
not assigned |
| id |
183-1761602926 |
| illustrated |
Not Illustrated |
| imprint |
Los Angeles, SAGE Publications, Inc, [2022] |
| imprint_str_mv |
Los Angeles: SAGE Publications, Inc, [2022] |
| institution |
FID-BBI-DE-23 |
| is_hierarchy_id |
|
| is_hierarchy_title |
|
| isbn |
9781544370453, 1544370458 |
| isbn_isn_mv |
9781544370460 |
| language |
English |
| last_indexed |
2024-04-30T19:20:37.086Z |
| marc_error |
[geogr_code]Unable to make public java.lang.AbstractStringBuilder java.lang.AbstractStringBuilder.append(java.lang.String) accessible: module java.base does not "opens java.lang" to unnamed module @64e01542 |
| match_str |
saltz2022datascienceforbusinesswithr |
| mega_collection |
K10plus Verbundkatalog |
| oclc_num |
1264265127 |
| physical |
xxxii, 389 Seiten; Illustrationen; 24 cm |
| publishDate |
[2022] |
| publishDateSort |
2022 |
| publishPlace |
Los Angeles |
| publisher |
SAGE Publications, Inc |
| record_format |
marcfinc |
| record_id |
1761602926 |
| recordtype |
marcfinc |
| rvk_facet |
ST 530 |
| rvk_label |
Informatik, Monografien, Einzelne Anwendungen der Datenverarbeitung, Wirtschaftsinformatik, Data-warehouse-Konzept; Data mining |
| rvk_path |
ST, SQ - SU, ST 530, ST 500 - ST 530, ST 320 - ST 690 |
| rvk_path_str_mv |
ST, SQ - SU, ST 530, ST 500 - ST 530, ST 320 - ST 690 |
| source_id |
183 |
| spelling |
Saltz, Jeffrey S. VerfasserIn aut, Data science for business with R Jeffrey S. Saltz, Jeffrey M. Stanton, Los Angeles SAGE Publications, Inc [2022], xxxii, 389 Seiten Illustrationen 24 cm, Text txt rdacontent, ohne Hilfsmittel zu benutzen n rdamedia, Band nc rdacarrier, Includes bibliographical references and index, Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available., Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field., 1.1\x Datenverarbeitung (DE-627)091354463 (DE-2867)15606-3 stw, 1.2\x Programmiersprache (DE-627)091384699 (DE-2867)15619-1 stw, 1.3\x Data science stw, Business Data processing, R (Computer program language), Commercial statistics, Business ; Data processing, (DE-206)28 Lehrbuch DE-206, s (DE-588)4069402-1 (DE-627)106103520 (DE-576)209176709 Betriebswirtschaftslehre gnd, s (DE-588)1140936166 (DE-627)898774306 (DE-576)494140666 Data Science gnd, s (DE-588)4705956-4 (DE-627)356147487 (DE-576)215406362 R Programm gnd, (DE-627), Stanton, Jeffrey M. 1961- VerfasserIn (DE-588)113939326X (DE-627)897142039 (DE-576)493256016 aut, 9781544370460 electronic publication, 9781544370460, https://www.gbv.de/dms/zbw/1761602926.pdf V:DE-601 B:DE-206 pdf/application Inhaltsverzeichnis |
| spellingShingle |
Saltz, Jeffrey S., Stanton, Jeffrey M., Data science for business with R, Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available., Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field., Datenverarbeitung, Programmiersprache, Data science, Business Data processing, R (Computer program language), Commercial statistics, Business ; Data processing, Lehrbuch, Betriebswirtschaftslehre, Data Science, R Programm |
| title |
Data science for business with R |
| title_auth |
Data science for business with R |
| title_full |
Data science for business with R Jeffrey S. Saltz, Jeffrey M. Stanton |
| title_fullStr |
Data science for business with R Jeffrey S. Saltz, Jeffrey M. Stanton |
| title_full_unstemmed |
Data science for business with R Jeffrey S. Saltz, Jeffrey M. Stanton |
| title_short |
Data science for business with R |
| title_sort |
data science for business with r |
| title_unstemmed |
Data science for business with R |
| topic |
Datenverarbeitung, Programmiersprache, Data science, Business Data processing, R (Computer program language), Commercial statistics, Business ; Data processing, Lehrbuch, Betriebswirtschaftslehre, Data Science, R Programm |
| topic_facet |
Datenverarbeitung, Programmiersprache, Data science, Business, R (Computer program language), Commercial statistics, Business ; Data processing, Data processing, Lehrbuch, Betriebswirtschaftslehre, Data Science, R |
| url |
https://www.gbv.de/dms/zbw/1761602926.pdf |
| work_keys_str_mv |
AT saltzjeffreys datascienceforbusinesswithr, AT stantonjeffreym datascienceforbusinesswithr |