La bibliothèque numérique de l’enseignement supérieur en Côte d’Ivoire

La Bibliothèque Numérique Alassane Ouattara

Data Science Tools

R • Excel • KNIME • OpenOffice

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Auteur(s): Greco, Christopher

Editeur: Mercury Learning and Information

Année de Publication: 2020

pages: 220

ISBN: 978-1-68392-583-5

eISBN: 978-1-68392-581-1

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,
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

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