Data Science Tools: R • Excel • KNIME • OpenOffice
Christopher Greco
May 2020 · Mercury Learning and Information
eBook
206
Pages
About this eBook
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 OpenOfficeCovers statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysisCapstone exercises analyze data using the different software packages
Features:
Analyzes data using popular applications such as Excel, R, KNIME, and OpenOfficeCovers statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysisCapstone exercises analyze data using the different software packages
About the author
Christopher Greco is a COMPTIA Certified Technical Trainer and Microsoft Certified Systems Engineer with numerous years of industry experience in the areas of data analysis, cybersecurity, and IT instruction and training.
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