Data Science Tools

R • Excel • KNIME • OpenOffice

By: Christopher Greco

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Paperback | 18 May 2020

At a Glance

Paperback
222 Pages

Dimensions(cm)
22.86 x 17.78 x 1.27

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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, 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

Industry Reviews

"Data Science Tools covers Excel, OpenOffice, KIME and R, and examines how statistical concepts are analyzed, translated, and surveyed. It uses data from federal sources and reviews basic statistical concepts, from distribution and histrograms to various forms of analysis and representation. The contrast between the different software approaches and uses will especially interest students looking to understand the different software systems and how they approach data representation and analysis."

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