September 2017
Beginner to intermediate
446 pages
9h 17m
English
book
Data Analysis with IBM SPSS Statistics
by James C. Mott, Ken Stehlik-Barry, James Sugrue, Anthony Babinec
Overview
"Data Analysis with IBM SPSS Statistics" is a comprehensive guide designed to help you master IBM SPSS Statistics for performing robust statistical analyses. Through a practical approach, the book delves into critical techniques like data visualization, regression analysis, and hypothesis testing, enabling you to uncover patterns, make informed decisions, and enhance data interpretation.
What this Book will help me do
- Set up and configure IBM SPSS Statistics for effective data analysis workflows.
- Perform data cleaning and preparation, including addressing missing data and restructuring datasets.
- Master statistical techniques such as ANOVA, regression analysis, and clustering to draw insights from data.
- Generate intuitive visualizations like charts and graphs to communicate findings effectively.
- Build predictive models and evaluate their effectiveness for decision-making purposes.
Author(s)
Ken Stehlik-Barry and Anthony Babinec are seasoned data analysts and IBM SPSS experts with extensive experience in statistical methodologies and data science. They have a knack for translating complex concepts into accessible lessons, making this book an ideal resource for learners aiming to build their SPSS aptitude. Their expertise ensures a well-rounded learning journey.
Who is it for?
This book is tailored for data analysts and researchers who need to analyze and interpret data effectively using IBM SPSS Statistics. Readers should have basic familiarity with statistical concepts, making it ideal for those with a foundational understanding of statistics. If you aim to grasp practical applications of SPSS for real-world data challenges, this book is for you.
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