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The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications.
Empower decisions with IBM SPSS Statistics. Harness advanced analytics tools for impactful insights. Explore SPSS features for precision analysis.
IBM® SPSS® Statistics has flexible pricing plans. See which option is right for you—from monthly subscriptions to perpetual licenses and special pricing for students and educators, there is an option for everyone.
SPSS Beginners Tutorials. Quickly master SPSS by learning things the right way. Follow along with our examples on downloadable practice data files.
SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.
This SPSS tutorial for beginners collection gives you the basic tools to get you started with SPSS in a step-by-step format. You’ll find an introduction to the topic, videos and pictures to illustrate the points.
Jan 25, 2019 · Learn SPSS in 15 minutes. Enroll in the full SPSS course for just $49: https://datafordev.com/spss Get lifetime access to all our courses (SPSS, STATA, KoboToolbox, PowerBI, Excel...
SPSS means “Statistical Package for the Social Sciences” and was first launched in 1968. Since SPSS was acquired by IBM in 2009, it's officially known as IBM SPSS Statistics but most users still just refer to it as “SPSS”.
The IBM SPSS Statistics 21 Brief Guide provides a set of tutorials designed to acquaint you with the various components of IBM® SPSS® Statistics. This guide is intended for use with all operating system versions of the software, including: Windows, Macintosh, and Linux.
May 22, 2023 · SPSS is used for data analysis by researchers in a myriad of fields. You perform predictive analytics to predict future outcomes and set up your user interface in a manner that supports your research.
