Ebook: Data Science Tools: R, Excel, KNIME, & OpenOffice
Author: Christopher Greco
- Year: 2020
- Publisher: Mercury Learning and Information
- Language: English
- pdf
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
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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