Data science tools : R, Excel, KNIME & OpenOffice /

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Greco, Christopher (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dulles, Virginia : Mercury Learning and Information, [2020]
Temas:
Statistics > Data processing.
Statistique > Informatique.
COMPUTERS / Database Management / Data Mining.
Statistics > Data processing
Acceso en línea:Texto completo

MARC

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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 
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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 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Statistics  |x Data processing. 
650 6 |a Statistique  |x Informatique. 
650 7 |a COMPUTERS / Database Management / Data Mining.  |2 bisacsh 
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776 0 8 |i Print version:  |a Greco, Christopher.  |t Data Science Tools : R * Excel * KNIME * OpenOffice.  |d Bloomfield : Mercury Learning & Information, ©2020 
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