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  3. Data Analysis With IBM Spss Statistics

EBOOK

Data Analysis With IBM Spss Statistics

Kenneth Stehlik-Barry
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Pages
446
Year
2017
Language
English
Publisher
Packt Publishing

About

Master data management & analysis techniques with IBM SPSS Statistics 24
This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods.
SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data.
The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed.
By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.
Provides a practical orientation to understanding a set of data and examining the key relationships among the data elements. Shows useful visualizations to enhance understanding and interpretation. Outlines a roadmap that focuses the process so decision regarding how to proceed can be made easily.

Related Subjects

  • General (Business & Productivity Software)
  • Business & Productivity Software
  • Computers
  • Adult Nonfiction
  • Data Modeling & Design
  • Data Science
  • General (Data Science)

Artists

Kenneth Stehlik-BarryAuthor
Anthony J. BabinecAuthor