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Data science tools : R, Excel, KNIME & OpenOffice /
In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, a...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Dulles, Virginia :
Mercury Learning and Information,
[2020]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Greco, Christopher, |e author. | |
| 245 | 1 | 0 | |a Data science tools : |b R, Excel, KNIME & OpenOffice / |c Christopher Greco. |
| 264 | 1 | |a Dulles, Virginia : |b Mercury Learning and Information, |c [2020] | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 online resource (220 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet). Each of these tools will be used to apply statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis using real data from Federal Government sources. Features: Analyzes data using popular applications such as Excel, R, KNIME, and OpenOffice; Covers statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis; Capstone exercises analyze data using the different software packages. | ||
| 505 | 0 | |a First steps -- Importing data -- Statistical test -- More statistical tests -- Statistical methods for specific tools -- Summary -- Supplemental information. | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed August 7, 2020). | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Statistics |x Data processing. | |
| 650 | 6 | |a Statistique |x Informatique. | |
| 650 | 7 | |a COMPUTERS / Database Management / Data Mining. |2 bisacsh | |
| 650 | 7 | |a Statistics |x Data processing |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Greco, Christopher. |t Data Science Tools : R * Excel * KNIME * OpenOffice. |d Bloomfield : Mercury Learning & Information, ©2020 |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2467151 |z Texto completo |
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| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6191970 | ||
| 938 | |a EBSCOhost |b EBSC |n 2467151 | ||
| 938 | |a YBP Library Services |b YANK |n 301266683 | ||
| 994 | |a 92 |b IZTAP | ||