Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. <ul>
<li>Conduct a more efficient and accurate analysis</li> <li>Display complex relationships and create better visualizations</li> <li>Model complex interactions and master predictive analytics</li> <li>Integrate R and Python with SPSS Statistics for more efficient, more powerful code</li> </ul>
These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.

SPSS Statistics for Data Analysis and Visualization

Computers & Technology

Salcedo, Jesus

McCormick, Keith

Networking & Cloud Computing

wiley

The fun and friendly guide to mastering IBM’s Statistical Package for the Social Sciences Written by an author team with a combined 45 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis. Covering the latest release and updates to SPSS 25.0, and including over 100 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You’ll even dabble in programming as you expand SPSS functionality to suit your specific needs. <ul>
<li>Master the fundamental mechanics of SPSS</li> <li>Learn how to get data into and out of the program</li> <li>Graph and analyze your data more accurately and efficiently</li> <li>Program SPSS with Command Syntax, Python, and scripts </li> </ul>
Get ready to start handling data like a pro―with step-by-step instruction and expert advice!

SPSS Statistics For Dummies (For Dummies (Business & Personal Finance))

Business & Money

Education & Reference

For Dummies

Practice making sense of data with IBM's SPSS Statistics software SPSS Statistics Workbook For Dummies gives you the practice you need to navigate the leading statistical software suite. Data management and analysis, advanced analytics, business intelligence--SPSS is a powerhouse of a research platform, and this book helps you master the fundamentals and analyze data more effectively. You'll work through practice problems that help you understand the calculations you need to perform, complete predictive analyses, and produce informative graphs. This workbook gives you hands-on exercises to hone your statistical analysis skills with SPSS Statistics 28. Plus, explanations and insider tips help you navigate the software with ease. Practical and easy-to-understand, in classic Dummies style. <ul> <li>Practice organizing, analyzing, and graphing data</li> <li>Learn to write, edit, and format SPSS syntax</li> <li>Explore the upgrades and features new to SPSS 28</li> <li>Try your hand at advanced data analysis procedures</li> </ul> For academics using SPSS for research, business analysts and market researchers looking to extract valuable insights from data, and anyone with a hankering for more stats practice.

SPSS Statistics Workbook For Dummies

Software

Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS ModelerKey Features<ul>
<li>Get up–and-running with IBM SPSS Modeler without going into too much depth.</li>
<li>Identify interesting relationships within your data and build effective data mining and predictive analytics solutions</li>
<li>A quick, easy–to-follow guide to give you a fundamental understanding of SPSS Modeler, written by the best in the business</li>
</ul>Book DescriptionIBM SPSS Modeler allows users to quickly and efficiently use predictive analytics and gain insights from your data. With almost 25 years of history, Modeler is the most established and comprehensive Data Mining workbench available. Since it is popular in corporate settings, widely available in university settings, and highly compatible with all the latest technologies, it is the perfect way to start your Data Science and Machine Learning journey.
This book takes a detailed, step-by-step approach to introducing data mining using the de facto standard process, CRISP-DM, and Modeler’s easy to learn “visual programming” style. You will learn how to read data into Modeler, assess data quality, prepare your data for modeling, find interesting patterns and relationships within your data, and export your predictions. Using a single case study throughout, this intentionally short and focused book sticks to the essentials. The authors have drawn upon their decades of teaching thousands of new users, to choose those aspects of Modeler that you should learn first, so that you get off to a good start using proven best practices.
This book provides an overview of various popular data modeling techniques and presents a detailed case study of how to use CHAID, a decision tree model. Assessing a model’s performance is as important as building it; this book will also show you how to do that. Finally, you will see how you can score new data and export your predictions. By the end of this book, you will have a firm understanding of the basics of data mining and how to effectively use Modeler to build predictive models.What you will learn<ul>
<li>Understand the basics of data mining and familiarize yourself with Modeler’s visual programming interface</li>
<li>Import data into Modeler and learn how to properly declare metadata</li>
<li>Obtain summary statistics and audit the quality of your data</li>
<li>Prepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields</li>
<li>Assess simple relationships using various statistical and graphing techniques</li>
<li>Get an overview of the different types of models available in Modeler</li>
<li>Build a decision tree model and assess its results</li>
<li>Score new data and export predictions</li>
</ul>Who This Book Is ForThis book is ideal for those who are new to SPSS Modeler and want to start using it as quickly as possible, without going into too much detail. An understanding of basic data mining concepts will be helpful, to get the best out of the book.Table of Contents<ol>
<li>Introduction to Data Mining</li>
<li>The Basics of Using Modeler</li>
<li>Importing Data into Modeler</li>
<li>Data Quality and Exploration</li>
<li>Cleaning and Selecting Data</li>
<li>Combining Data Files</li>
<li>Combining and Restructuring Data</li>
<li>Looking for Relationships between Fields</li>
<li>Introduction to Modeling Options in IBM SPSS Modeler</li>
<li>Decision Tree Models</li>
<li>Model Assessment and Scoring</li>
</ol>

IBM SPSS Modeler Essentials

Databases & Big Data

Packt Publishing

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