Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Old Saybrook]
Tantor Audio
2019
|
| Ausgabe: | Unabridged. |
| Schriftenreihe: | For dummies
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781515936770/?ar |
| Zusammenfassung: | Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect: ● Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value ● Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL ● And more It's a big, big data world out there-let Data Science For Dummies help you harness its power and gain a competitive edge for your organization. |
| Beschreibung: | Online resource; title from title details screen (OverDrive, viewed September 26, 2019) |
| Umfang: | 1 Online-Ressource (1 audio file (10 hr., 32 min., 01 sec.)) |
| ISBN: | 9781630155094 1630155098 1515936775 9781515936770 |
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| illustrated | Not Illustrated |
| indexdate | 2025-06-25T12:14:35Z |
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| language | English |
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| publisher | Tantor Audio |
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| series2 | For dummies |
| spelling | Pierson, Lillian VerfasserIn aut Data Science for Dummies Lillian Pierson ; forword by Jake Porway Unabridged. [Old Saybrook] Tantor Audio 2019 1 Online-Ressource (1 audio file (10 hr., 32 min., 01 sec.)) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier For dummies Online resource; title from title details screen (OverDrive, viewed September 26, 2019) Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect: ● Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value ● Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL ● And more It's a big, big data world out there-let Data Science For Dummies help you harness its power and gain a competitive edge for your organization. Information technology Information retrieval Databases Data mining Information Storage and Retrieval Data Mining Technologie de l'information Recherche de l'information Exploration de données (Informatique) information technology information retrieval COMPUTERS ; General Data mining (OCoLC)fst00887946 Databases (OCoLC)fst00888065 Information retrieval (OCoLC)fst00972619 Information technology (OCoLC)fst00973089 Downloadable audio books Audiobooks (OCoLC)fst01726208 Audiobooks Livres audio Porway, Jake MitwirkendeR ctb Cannon, Chloe ErzählerIn nrt |
| spellingShingle | Pierson, Lillian Data Science for Dummies Information technology Information retrieval Databases Data mining Information Storage and Retrieval Data Mining Technologie de l'information Recherche de l'information Exploration de données (Informatique) information technology information retrieval COMPUTERS ; General Data mining (OCoLC)fst00887946 Databases (OCoLC)fst00888065 Information retrieval (OCoLC)fst00972619 Information technology (OCoLC)fst00973089 Downloadable audio books Audiobooks (OCoLC)fst01726208 Audiobooks Livres audio |
| subject_GND | (OCoLC)fst00887946 (OCoLC)fst00888065 (OCoLC)fst00972619 (OCoLC)fst00973089 (OCoLC)fst01726208 |
| title | Data Science for Dummies |
| title_auth | Data Science for Dummies |
| title_exact_search | Data Science for Dummies |
| title_full | Data Science for Dummies Lillian Pierson ; forword by Jake Porway |
| title_fullStr | Data Science for Dummies Lillian Pierson ; forword by Jake Porway |
| title_full_unstemmed | Data Science for Dummies Lillian Pierson ; forword by Jake Porway |
| title_short | Data Science for Dummies |
| title_sort | data science for dummies |
| topic | Information technology Information retrieval Databases Data mining Information Storage and Retrieval Data Mining Technologie de l'information Recherche de l'information Exploration de données (Informatique) information technology information retrieval COMPUTERS ; General Data mining (OCoLC)fst00887946 Databases (OCoLC)fst00888065 Information retrieval (OCoLC)fst00972619 Information technology (OCoLC)fst00973089 Downloadable audio books Audiobooks (OCoLC)fst01726208 Audiobooks Livres audio |
| topic_facet | Information technology Information retrieval Databases Data mining Information Storage and Retrieval Data Mining Technologie de l'information Recherche de l'information Exploration de données (Informatique) information technology information retrieval COMPUTERS ; General Downloadable audio books Audiobooks Livres audio |
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