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Data smart using data science to transform information into insight /
Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico Audiom |
| Idioma: | Inglés |
| Publicado: |
New York :
Gildan Audio,
p2018.
|
| Edición: | Unabridged. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Foreman, John W. | |
| 245 | 1 | 0 | |a Data smart |h [electronic resource] : |b using data science to transform information into insight / |c John W. Foreman. |
| 250 | |a Unabridged. | ||
| 260 | |a New York : |b Gildan Audio, |c p2018. | ||
| 300 | |a 1 online resource (10 hr., 48 min.) | ||
| 500 | |a Downloadable audio file. | ||
| 511 | 0 | |a Narrated by Matthew Josdal. | |
| 520 | |a Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science' Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data' Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Business. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Affaires. | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Information Management. |2 bisacsh | |
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