Data Science Tools : : R • Excel • KNIME • OpenOffice / / Christopher Greco.

• Superior document: Title is part of eBook package: De Gruyter MLI AI COLLECTION
• VerfasserIn: Greco, Christopher,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2020]; ©2020
• Year of Publication: 2020
• Language: English
• Physical Description: 1 online resource (206 p.)
• Other title: Frontmatter --; CONTENTS --; Preface --; Acknowledgments --; Notes on Permissions --; Chapter 1: First Steps --; Chapter 2: Importing Data --; Chapter 3: Statistical Tests --; Chapter 4: More Statistical Tests --; Chapter 5: Statistical Methods for Specific Tools --; Chapter 6: Summary --; Chapter 7: Supplemental Information --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781683925811; 9783111573533; 9783111502496
• DOI: 10.1515/9781683925811
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Christopher Greco.

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