Data Science Tools (Mercury Learning)
Monday, 10 August 2020

This book describes some of the popular software application tools used in data science along with the processes for downloading and best using them. Author Christopher Greco considers data analysis using Microsoft Excel, KNIME, R, and the OpenOffice spreadsheet. Each of these tools are 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.

<ASIN:1683925831>

 

Author: Christopher Greco
Publisher: Mercury Learning
Date: May 2020
Pages: 206
ISBN: 978-1683925835
Print: 1683925831
Kindle: B088QL2MHJ
Audience: Data analysts
Level: Introductory/Intermediate
Category: Data Science 

  • 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

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

 

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