Explore what's new with SPSS Statistics 29
Overview
IBM® SPSS® Statistics is a powerful statistical software platform. It offers a user-friendly interface and a robust set of features that lets your organization quickly extract actionable insights from your data. Advanced statistical procedures help ensure high accuracy and quality decision making. All facets of the analytics lifecycle are included, from data preparation and management to analysis and reporting.
Explore the power of statistical analysis in your organization (04:47)
SPSS Statistics academic editions
For institutions & administrators
For students and faculty
Benefits
Easy to use
Integrated with open source
Comprehensive
Flexible
Purchase options
Features
Intuitive user interface
Perform powerful analyses without coding experience using a drag-and-drop interface.
Advanced data visualizations
Build visualizations and easily export to include in multiple file formats to communicate results effectively.
Automated data preparation
Help ensure data is clear, properly organized and ready for analysis.
Efficient data conditioning
Identify invalid values, view patterns of missing data and summarize variable distributions.
Local data storage
Increase data security by storing files and data on your computer rather than in the cloud.
What’s new
Tech Talk series
Tips for SPSS Statistics 29 to help both statistics novices and experts unlock richer insights from data
Learning guide
Videos, product tours, tutorials and more to help you accelerate data analysis with SPSS Statistics
Product images
Discriminant scores scatter
Discriminant scores scatter
Classify groups based on measured characteristics.
Bayesian procedures
Bayesian procedures
Estimate Bayes factors and posterior distributions for parameters.
Multilayer perceptron (MLP) network
Multilayer perceptron (MLP) network
Predict or classify outcomes using neural network models.
Estimated marginal means
Estimated marginal means
Compare group means using a general linear model approach.
