Data Science Tools
R • Excel • KNIME • OpenOffice
- Publisher
Mercury Learning & Information - Published
18th May 2020 - ISBN 9781683925835
- Language English
- Pages 206 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning & Information - Published
6th May 2020 - ISBN 9781683925811
- Language English
- Pages 206 pp.
- Size 7" x 9"
- Publisher
Mercury Learning & Information - Published
14th May 2020 - ISBN 9781683925828
- Language English
- Pages 206 pp.
- Size 7" x 9"
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
"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."
- Midwest Book Review
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
Christopher Greco
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.