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Can I read Data Analysis with IBM SPSS Statistics : Master Data Management & Analysis Techniques with IBM SPSS Statistics 24 on EtoBox?
Data Analysis with IBM SPSS Statistics : Master Data Management & Analysis Techniques with IBM SPSS Statistics 24 by Kenneth Stehlik-Barry; Anthony J. Babinec is a nonfiction available to read on EtoBox.
What is Data Analysis with IBM SPSS Statistics : Master Data Management & Analysis Techniques with IBM SPSS Statistics 24 about?
**Master data management & analysis techniques with IBM SPSS Statistics 24****About This Book**- Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data- Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease- Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks**Who This Book Is For**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. **What You Will Learn**- Install and set up SPSS to create a working environment for analytics- Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data- How to import different kinds of data and work with it- Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure you
Who reads Data Analysis with IBM SPSS Statistics : Master Data Management & Analysis Techniques with IBM SPSS Statistics 24?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kenneth Stehlik-Barry; Anthony J. Babinec
- Publisher
- Packt Publishing, Limited
- Published
- 2017
- Language
- EN
- ISBN
- 9781787280700
- Category
- nonfiction
- Subjects
- Science, Technology, Business
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