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MERCURY LEARNING and INFORMATION provides print and digital content in the areas of science and medicine, technology and computing, engineering, and mathematics (STEM disciplines) designed for the professional/reference, trade, library, higher education, career school, and online training markets. We embrace both traditional and innovative publishing models designed to accommodate the needs of the intended audience by using the appropriate delivery methods.
Data Science Tools
R - Excel - KNIME - OpenOffice
ISBN: 9781683925835
Pub Date: May 2020
Specs: 7 x 9 Paperback
Pages: 206
Price: $46.95
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
BRIEF TOC
1: First Steps. 2: Importing Data. 3: Statistical Tests. 4: More Statistical Tests. 5: Statistical Methods for Specific Tools. 6: Summary. 7: Supplemental Information. Index.
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.