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Introduction to data analytics with KNIME : a data science approach to analytics /
"This is a hands-on basic course about data analytics and KNIME, and is designed for learners with little experience in data analytics or in programming. Taught by 24 year data analytics veteran Dr. Rosaria Silipo, it covers everything a beginning data analyst needs to know. You'll learn a...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
[2016]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Silipo, Rosaria, |e speaker. | |
| 245 | 1 | 0 | |a Introduction to data analytics with KNIME : |b a data science approach to analytics / |c with Rosaria Silipo. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly, |c [2016] | |
| 300 | |a 1 online resource (1 streaming video file (3 hr., 1 min., 30 sec.)) : |b digital, sound, color | ||
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| 500 | |a Title from title screen (Safari, viewed October 4, 2016). | ||
| 500 | |a Release date from resource description page (Safari, viewed October 4, 2016). | ||
| 511 | 0 | |a Presenter, Rosaria Silipo. | |
| 520 | |a "This is a hands-on basic course about data analytics and KNIME, and is designed for learners with little experience in data analytics or in programming. Taught by 24 year data analytics veteran Dr. Rosaria Silipo, it covers everything a beginning data analyst needs to know. You'll learn about importing data from common data sources and how to investigate data using visual exploration, ETL, data blending, and some machine learning algorithms. You'll explore prediction models, clustering models, recommendation models, PMML models, and how to build a report in BIRT and the KNIME WebPortal. By course end, you'll possess a basic understanding of the methods of data analytics as well as practical skills in using the KNIME platform for your own purposes."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Quantitative research. | |
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