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Download IBM SPSS Statistics v27.0.1 IF026 for Windows

Advanced Statistical Analysis

Perform descriptive statistics, regression, Bayesian analysis, predictive modeling, and advanced statistical procedures using a powerful all-in-one analytics platform.

Visual Data Exploration

Create professional charts, decision trees, clusters, and trend visualizations with an intuitive drag-and-drop interface for faster data exploration.

R & Python Integration

Extend SPSS functionality with R and Python, access over 130 community extensions, and automate complex workflows for research and business analytics.

The IBM SPSS Statistics offers the core statistical procedures business managers and analysts need to address fundamental business and research questions. This software provides tools that allow users to quickly view data, formulate hypotheses for additional testing, and carry out procedures to clarify relationships between variables, create clusters, identify trends and make predictions.

Work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics, and many more. Create publication-ready charts, tables, and decision trees in one tool.

Enhance the SPSS Syntax with R and Python through specialized extensions. Leverage the 130+ extensions available on our Extension Hub, or build your own and share with your peers to create a customized solution.

Use a simple drag-and-drop interface to access a wide range of capabilities and work across multiple data sources. Plus, flexible deployment options make purchasing and managing your software easy.

Main Features

Descriptive Statistics

Generate frequencies, summaries, distributions, and statistical reports to understand your data quickly and accurately.

Regression Analysis

Build linear and logistic regression models to evaluate relationships, identify trends, and improve forecasting.

Bayesian Statistics

Apply Bayesian inference methods for more flexible statistical modeling and evidence-based decision making.

Decision Trees

Create intelligent decision tree models for classification, segmentation, and predictive analytics projects.

Modern Chart Builder

Design attractive charts and visual reports with an intuitive drag-and-drop chart building experience.

Publication-Ready Tables

Create professional statistical tables and formatted outputs suitable for academic research and business reports.

Python & R Extensions

Automate workflows, customize analyses, and extend SPSS using integrated Python and R programming support.

Multiple Data Sources

Import, combine, and analyze datasets from spreadsheets, databases, and various external data sources.

Productivity Improvements

Benefit from a refined interface, simplified toolbars, accessibility enhancements, and faster everyday workflows.

Windows Requirements

Minimum system requirements for running IBM SPSS Statistics on Windows.

Operating System Supported Windows Version
Windows 10 / 11 (64-bit)
Hardware Processor, Memory & Storage
Intel or AMD 64-bit CPU • 8 GB RAM • 4 GB Free Disk Space
For optimal performance, use Windows 11 with at least 16 GB RAM and an SSD, especially when working with large datasets or complex statistical analyses.
IBM SPSS Statistics v27.0.1 IF026 for Windows

Download IBM SPSS Statistics v27.0.1 IF026 for WindowsIBM Software, SPSS Statistics, 64 Bit Software

IBM SPSS Statistics 27.0.1 IF026 Win64 Multilingual.rar
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  1. Markos Wakgari Deressa
    Markos Wakgari Deressa Guest
    30 April 2026 10:21
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    jacks Guest
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    Jay jay Guest
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    JAYANT Guest
    13 April 2026 23:03
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    parshavi trivedi Guest
    22 March 2026 05:05
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    Metanfano Guest
    20 March 2026 11:39
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    라탄 Guest
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  8. SK
    SK Guest
    24 February 2026 06:05
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    Ruth Guest
    20 February 2026 15:27
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    Dody Guest
    10 February 2026 11:30
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    Chintya Patel Guest
    8 February 2026 10:31
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    Nishh Guest
    5 February 2026 11:07
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    Mickey Guest
    31 January 2026 07:25
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    Mickey Guest
    31 January 2026 07:23
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    Bishnu Pun Guest
    31 January 2026 03:03
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    Josh Guest
    27 January 2026 20:58
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    john Guest
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      13 April 2025 11:47
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      22 April 2025 16:14
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8

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