Read Data Science Tools: R • Excel • KNIME • OpenOffice

Data Science Tools: R • Excel • KNIME • OpenOffice

Christopher Greco

4.9/5 (23707 ratings)

Description: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 packagesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Science Tools: R • Excel • KNIME • OpenOffice. To get started finding Data Science Tools: R • Excel • KNIME • OpenOffice, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 1683925831

Description: 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 packagesWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Data Science Tools: R • Excel • KNIME • OpenOffice. To get started finding Data Science Tools: R • Excel • KNIME • OpenOffice, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Data Science Tools: R • Excel • KNIME • OpenOffice

Data Science Tools: R • Excel • KNIME • OpenOffice

More Books

[(A Study: Steven Stuckys "Notturno.")] [Author: Christopher J Greco] published on (October, 2008)

[(A Study: Steven Stuckys "Notturno.")] [Author: Christopher J Greco] published on (October, 2008)

Making Marriage Beautiful: Lifelong Love, Joy, and Intimacy Start with You

Making Marriage Beautiful: Lifelong Love, Joy, and Intimacy Start with You

8 Steps to Overcoming Everyday Adversity

8 Steps to Overcoming Everyday Adversity

Data Analytics: Systems Engineering - Cybersecurity - Project Management

Data Analytics: Systems Engineering - Cybersecurity - Project Management

Death in the Cage

Death in the Cage

Code of the Cage

Code of the Cage

A Study: Steven Stucky's Notturno."": An Interpretation and Analysis of a Late TwentiethCentury Work for Saxophone and Piano

A Study: Steven Stucky's Notturno."": An Interpretation and Analysis of a Late TwentiethCentury Work for Saxophone and Piano

A Data Analyst Walks Into a Bar(graph): How To Do Risible Research or Silly Statistical Studies

A Data Analyst Walks Into a Bar(graph): How To Do Risible Research or Silly Statistical Studies

Self-Publishing for the Motivated Writer

Self-Publishing for the Motivated Writer