Survey of data science:
Our "Survey of Data Science" course provides a deep dive into the world of data analysis and modeling, equipping learners with the skills to transform raw data into insightful decisions. Starting with an introduction to data scientists' roles and activities, the course progresses thro...
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere beteiligte Personen: | , |
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Birmingham, United Kingdom]
Packt Publishing
[2024]
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781836201892/?ar |
| Zusammenfassung: | Our "Survey of Data Science" course provides a deep dive into the world of data analysis and modeling, equipping learners with the skills to transform raw data into insightful decisions. Starting with an introduction to data scientists' roles and activities, the course progresses through data exploration and analysis. You will learn about the importance of data hygiene, statistical foundations, and the power of visualization to communicate data-driven insights effectively. As the course unfolds, it covers complex topics such as handling unstructured data, building associative rules, decision trees, and regression models, and delves into sophisticated areas like neural networks and natural language processing. The Lambda architecture section will illuminate real-time and batch data processing, essential for handling big data scenarios in professional settings. The course not only provides technical skills but also emphasizes practical application, preparing participants to apply their knowledge in real-world situations. This journey will equip you with the expertise to navigate the challenges of modern data science, making you an asset in various industry roles. |
| Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed May 7, 2024) |
| Umfang: | 1 Online-Ressource (1 video file (8 hr., 43 min.)) sound, color. |
| ISBN: | 9781836201892 1836201893 |
Internformat
MARC
| LEADER | 00000ngm a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-103622314 | ||
| 003 | DE-627-1 | ||
| 005 | 20240603113657.0 | ||
| 006 | m o | | | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240603s2024 xx ||| |o o ||eng c | ||
| 020 | |a 9781836201892 |c electronic video |9 978-1-83620-189-2 | ||
| 020 | |a 1836201893 |c electronic video |9 1-83620-189-3 | ||
| 035 | |a (DE-627-1)103622314 | ||
| 035 | |a (DE-599)KEP103622314 | ||
| 035 | |a (ORHE)9781836201892 | ||
| 035 | |a (DE-627-1)103622314 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 005.7 |2 23/eng/20240507 | |
| 245 | 1 | 0 | |a Survey of data science |c ACI Learning, Chris Mawata, Justin Dennison |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a [Birmingham, United Kingdom] |b Packt Publishing |c [2024] | |
| 300 | |a 1 Online-Ressource (1 video file (8 hr., 43 min.)) |b sound, color. | ||
| 336 | |a zweidimensionales bewegtes Bild |b tdi |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online resource; title from title details screen (O'Reilly, viewed May 7, 2024) | ||
| 520 | |a Our "Survey of Data Science" course provides a deep dive into the world of data analysis and modeling, equipping learners with the skills to transform raw data into insightful decisions. Starting with an introduction to data scientists' roles and activities, the course progresses through data exploration and analysis. You will learn about the importance of data hygiene, statistical foundations, and the power of visualization to communicate data-driven insights effectively. As the course unfolds, it covers complex topics such as handling unstructured data, building associative rules, decision trees, and regression models, and delves into sophisticated areas like neural networks and natural language processing. The Lambda architecture section will illuminate real-time and batch data processing, essential for handling big data scenarios in professional settings. The course not only provides technical skills but also emphasizes practical application, preparing participants to apply their knowledge in real-world situations. This journey will equip you with the expertise to navigate the challenges of modern data science, making you an asset in various industry roles. | ||
| 650 | 0 | |a Big data | |
| 650 | 0 | |a Data mining | |
| 650 | 4 | |a Exploration de données (Informatique) | |
| 650 | 4 | |a Instructional films | |
| 650 | 4 | |a Nonfiction films | |
| 650 | 4 | |a Internet videos | |
| 650 | 4 | |a Films de formation | |
| 650 | 4 | |a Films autres que de fiction | |
| 650 | 4 | |a Vidéos sur Internet | |
| 700 | 1 | |a Mawata, Chris |e MitwirkendeR |4 ctb | |
| 700 | 1 | |a Dennison, Justin |e MitwirkendeR |4 ctb | |
| 710 | 2 | |a ACI Learning (Firm), |e MitwirkendeR |4 ctb | |
| 710 | 2 | |a Packt Publishing, |e Verlag |4 pbl | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781836201892/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 935 | |c vide | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-103622314 |
|---|---|
| _version_ | 1821494932036124672 |
| adam_text | |
| any_adam_object | |
| author2 | Mawata, Chris Dennison, Justin |
| author2_role | ctb ctb |
| author2_variant | c m cm j d jd |
| author_corporate | ACI Learning (Firm) |
| author_corporate_role | ctb |
| author_facet | Mawata, Chris Dennison, Justin ACI Learning (Firm) |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)103622314 (DE-599)KEP103622314 (ORHE)9781836201892 |
| dewey-full | 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7 |
| dewey-search | 005.7 |
| dewey-sort | 15.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | [First edition]. |
| format | Electronic Video |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03014ngm a22005172 4500</leader><controlfield tag="001">ZDB-30-ORH-103622314</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240603113657.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240603s2024 xx ||| |o o ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781836201892</subfield><subfield code="c">electronic video</subfield><subfield code="9">978-1-83620-189-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1836201893</subfield><subfield code="c">electronic video</subfield><subfield code="9">1-83620-189-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)103622314</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP103622314</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781836201892</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)103622314</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.7</subfield><subfield code="2">23/eng/20240507</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Survey of data science</subfield><subfield code="c">ACI Learning, Chris Mawata, Justin Dennison</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Birmingham, United Kingdom]</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">[2024]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 video file (8 hr., 43 min.))</subfield><subfield code="b">sound, color.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from title details screen (O'Reilly, viewed May 7, 2024)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Our "Survey of Data Science" course provides a deep dive into the world of data analysis and modeling, equipping learners with the skills to transform raw data into insightful decisions. Starting with an introduction to data scientists' roles and activities, the course progresses through data exploration and analysis. You will learn about the importance of data hygiene, statistical foundations, and the power of visualization to communicate data-driven insights effectively. As the course unfolds, it covers complex topics such as handling unstructured data, building associative rules, decision trees, and regression models, and delves into sophisticated areas like neural networks and natural language processing. The Lambda architecture section will illuminate real-time and batch data processing, essential for handling big data scenarios in professional settings. The course not only provides technical skills but also emphasizes practical application, preparing participants to apply their knowledge in real-world situations. This journey will equip you with the expertise to navigate the challenges of modern data science, making you an asset in various industry roles.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Instructional films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nonfiction films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet videos</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films de formation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films autres que de fiction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéos sur Internet</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mawata, Chris</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dennison, Justin</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">ACI Learning (Firm),</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Packt Publishing,</subfield><subfield code="e">Verlag</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781836201892/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="935" ind1=" " ind2=" "><subfield code="c">vide</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-103622314 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:22:14Z |
| institution | BVB |
| isbn | 9781836201892 1836201893 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 video file (8 hr., 43 min.)) sound, color. |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Survey of data science ACI Learning, Chris Mawata, Justin Dennison [First edition]. [Birmingham, United Kingdom] Packt Publishing [2024] 1 Online-Ressource (1 video file (8 hr., 43 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed May 7, 2024) Our "Survey of Data Science" course provides a deep dive into the world of data analysis and modeling, equipping learners with the skills to transform raw data into insightful decisions. Starting with an introduction to data scientists' roles and activities, the course progresses through data exploration and analysis. You will learn about the importance of data hygiene, statistical foundations, and the power of visualization to communicate data-driven insights effectively. As the course unfolds, it covers complex topics such as handling unstructured data, building associative rules, decision trees, and regression models, and delves into sophisticated areas like neural networks and natural language processing. The Lambda architecture section will illuminate real-time and batch data processing, essential for handling big data scenarios in professional settings. The course not only provides technical skills but also emphasizes practical application, preparing participants to apply their knowledge in real-world situations. This journey will equip you with the expertise to navigate the challenges of modern data science, making you an asset in various industry roles. Big data Data mining Exploration de données (Informatique) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Mawata, Chris MitwirkendeR ctb Dennison, Justin MitwirkendeR ctb ACI Learning (Firm), MitwirkendeR ctb Packt Publishing, Verlag pbl |
| spellingShingle | Survey of data science Big data Data mining Exploration de données (Informatique) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| title | Survey of data science |
| title_auth | Survey of data science |
| title_exact_search | Survey of data science |
| title_full | Survey of data science ACI Learning, Chris Mawata, Justin Dennison |
| title_fullStr | Survey of data science ACI Learning, Chris Mawata, Justin Dennison |
| title_full_unstemmed | Survey of data science ACI Learning, Chris Mawata, Justin Dennison |
| title_short | Survey of data science |
| title_sort | survey of data science |
| topic | Big data Data mining Exploration de données (Informatique) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| topic_facet | Big data Data mining Exploration de données (Informatique) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| work_keys_str_mv | AT mawatachris surveyofdatascience AT dennisonjustin surveyofdatascience AT acilearningfirm surveyofdatascience AT packtpublishing surveyofdatascience |