IBM SPSS for Students: A Comprehensive Data Analysis Tool for Students

IBM SPSS for Students offers the core capabilities students need to complete the analytical process, from start to finish.Manage and analyze virtually any type of structured or unstructured data, including survey and web data, and/or information from accessible databases.

Advantages of IBM SPSS for Students

The statistical software par excellence offers students numerous advantages, which we can summarize in three:

A comprehensive set of statistical tools

Work within a single, integrated interface to run descriptive statistics, regressions, advanced statistics, and more. Create publication-ready graphs, tables, and decision trees in a single tool.

Open source integration

Enhance SPSS syntax with R and Python through specialized extensions. Take advantage of the more than 130 extensions available on the IBM Extension Hub, or create your own and share them with your colleagues to build a custom solution.

Simple statistical analysis

It uses a simple drag and drop interface to access a wide range of capabilities and work with multiple data sources. In addition, flexible deployment options make it easy to purchase and manage the software.

spss students

SPSS for Students Features

We indicate below the main characteristics that the program presents in its specific version for Students and Educational Communities.

Analytical procedures

  • Carry out a wide range of descriptive procedures including: cross tabulations, frequencies, comparison of means, and correlation.
  • Predict numerical outcomes and identify clusters using factor analysis, cluster classification analysis, linear regression, ordinal regression, discriminant analysis, and Nearest Neighbor analysis.
    Automate the prediction of numerical results with the automatic linear modeling (ALM) function.
  • Integrate, explore, and model location and time data using geospatial analysis, including Spatio-Temporal Prediction (STP) and the Generalized Spatial Association Rule (GSAR).
  • Apply Monte Carlo simulation techniques to your data to account for uncertainty in forecast models and determine the probability of a particular business outcome when you don’t have all the data.
  • Develop R programs for use with IBM SPSS Statistics using the R integrated development environment.
  • Use SPSS Statistics Base with other modules, such as IBM SPSS Regression and IBM SPSS Advanced Statistics, to more accurately identify and analyze complex relationships.

Work with large data sets

  • Quickly access, manage, and analyze any type of data set, including survey data, corporate databases, or data downloaded from the web.
  • Deploy analytics faster with access to common data types and external programming languages, including Java and IBM Cognos® Business Intelligence.
  • Types and aggregates can be returned to the database, where they can be done more quickly.
  • Large files can be compressed to save disk space by sorting them, improving performance, and speeding up scanning.
  • Bulk data loading for faster performance when working with very large data sets.

OLAP-based reports

  • Distribute and manipulate information for ad hoc decision making.
  • Create reporting tables, charts, and cubes with unique, award-winning pivot technology to help unlock new insights into your data.
  • Use multiple formatting options to generate custom, presentation-quality reports.

Integrated tools to save time

  • Identify and remove duplicate cases and restructure data files prior to analysis.
  • Open multiple data sets in a single session to save time and condense steps.
  • Compare two data sets or two data files to identify any discrepancies between them.

Graphs and tables

  • Create commonly used charts like SPLOMs (scatterplot matrices), histograms, and population pyramids more easily with Chart Builder.
  • Drag and drop variables and elements onto the chart creation canvas and preview the chart as it’s built.
  • Build one chart once, and then use your specs to build hundreds more just like it.
  • Use pre-built map templates to generate geographic or demographic analysis that can provide critical information for decision making.
  • Quickly change graph information and statistics to gain new levels of understanding, and turn a table into a graph with just a few mouse clicks.
  • Export the results to Excel, Word and PowerPoint, and in PDF format.
  • Export the result as a web report in HTML5 format for viewing on a number of devices and platforms, including iPod, iPhone, iPad, Android and Windows 8 smartphones and tablets.

Technical specifications for the use of the program

  • Disk space: 2 GB
  • Memory: 4 GB at least. 8 GB recommended for 64-bit systems.
  • Processor: 2 GHz or more.

Works on mac

  • OS X Yosemite 10.10
  • OS X El Capitan 10.11
  • macOS High Sierra 10.13
  • macOS Mojave 10.14
  • macOS Sierra 10.12

For windows

  • Windows 10
  • Windows 8.1
  • Windows 8
  • Windows 7 SP 1 or higher
  • Windows Server 2008 R2
  • Windows Server 2012 R2
  • Windows Server 2016

Supports Linux

  • Red Hat Enterprise Linux (RHEL) Client 6
  • Red Hat Enterprise Linux (RHEL) Client 7
  • Ubuntu 14.04 LTS
  • Ubuntu 16.04 LTS

Free Download SPSS for Students

IBM offers you a free 30-day student license to gain an in-depth understanding of all basic and advanced features of this awesome software.Access the specific section with the following button to learn about the download options and all the features of the academic version.

Alternatives to IBM SPSS for Students

SPSS is a very popular statistical software among researchers and academics, especially in the field of social and market research. However, the cost of the license can be high for educational centers that seek to provide statistical tools to their students for their projects and theses.

Luckily, there are several free alternatives to SPSS that can be just as useful . In this article, we’re going to explore two of these alternatives: PSPP and Excel, and we’ll also mention other popular options, like STATA, R, and Minitab.

PSPP: the free alternative

PSPP is a free, open source alternative to SPSS. It offers many of the same features as SPSS, including basic and advanced data analysis, visualization layout, and report creation. One of the main advantages of PSPP is that it is free and open source , which means that students can download and use it at no cost. PSPP is compatible with most file formats, making it a very versatile tool for any type of investigation.

Another advantage of PSPP is that it is very similar to SPSS in terms of its user interface and the way analyzes are performed . This makes the transition from SPSS to PSPP easy for those already familiar with SPSS.


Excel is a spreadsheet program from Microsoft that is widely used in the business and academic world. Although not specifically statistical software, Excel has many features that can be used for basic and advanced data analysis . For example, Excel offers a wide variety of statistical functions, charts, and pivot tables that can be used for data analysis.Excel is also compatible with most file formats, making it a highly versatile tool for any type of research. Also, it is very easy to use and most students are probably already familiar with it.


STATA is a comprehensive statistical software used primarily in market and social research. It offers a wide variety of tools for data management and analysis, including regression analysis, time series analysis, and survival analysis. STATA is very easy to learn and use, and offers an intuitive user interface that makes graphing and reporting a breeze.

STATA supports a wide variety of file formats, making it a highly versatile tool for any type of research. However, the STATA license can be expensive for students , which means it may not be the best option for those on a limited budget.


R is free and open source statistical software that is very popular among researchers and academics . It offers a wide variety of tools for data management and analysis, including basic and advanced statistical analysis, and modeling and prediction techniques. One of the main advantages of R is that it is highly customizable and can be tailored to the specific needs of the user.

R also offers a wide variety of packages that can be downloaded and installed for free, which means that users can access a wide variety of statistical and graphical tools at no cost. However, R’s learning curve can be steeper than other statistical programs , which means that it can take time for users to learn how to use it effectively.


Minitab is a very comprehensive and popular statistical software that is used around the world. It offers a wide variety of tools for data management and analysis, including basic and advanced statistical analysis, and modeling and prediction techniques . Minitab is very easy to learn and use, and offers an intuitive user interface that makes charting and reporting a breeze.

Minitab supports a wide variety of file formats, making it a highly versatile tool for any type of investigation. However, Minitab’s license can be expensive for students , which means it may not be the best option for those on a budget.


SPSS Statistics for Students includes a range of statistical procedures to help you understand your data and generate reliable results. As a result, both non-technical business users and experienced data analysts are able to respond quickly to changing needs. Use the included procedures and tests to solve your research challenges and get better results.

Última actualización del artículo: September 15, 2023