Best SPSS Courses in 2026 (Free and Paid, Checked)

Last updated: November 2026. Written by Josh Hutcheson, OnlineCourseing editor. See our review methodology.

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SPSS (originally the Statistical Package for the Social Sciences, now IBM SPSS Statistics) is the program most students and researchers reach for when they need statistics without writing code. Its spreadsheet-like Data View and menu-driven dialogs let you run t-tests, ANOVA, chi-square tests and regression by pointing and clicking, and it produces output tables in the format journals and examiners expect.

If you face a dissertation or a research role that expects SPSS, the right course gets you from raw survey data to defensible, correctly reported results quickly. One honest note up front: many popular SPSS courses are several years old. SPSS’s menus have changed little, so the statistics they teach still apply, but expect older screenshots. We list the last-updated date for every course so you can judge.

The best SPSS courses at a glance

1. SPSS Masterclass: Learn SPSS Scratch to Advanced — best overall

Scholarsight Learning’s SPSS Masterclass is the best all-round option and the most current: rated 4.2 from 6,986 ratings, with 36,260 students and an April 2026 update. It takes you from importing and cleaning data through descriptive and inferential statistics into regression and more advanced analysis, all inside the SPSS interface. Its rating is a little lower than the older research-focused courses, which is the trade-off for being current. If you want one course that covers the whole workflow on up-to-date software, start here.

2. SPSS For Research — best for theses and researchers

If you are using SPSS for a dissertation or research project, Bogdan Anastasiei’s SPSS For Research is the most popular choice: 46,446 students and a 4.4 rating from 2,326 ratings, across about 15 hours of video. It is organized around the analyses researchers actually have to report, which is why it is so widely used in universities. The caveat is age: it was last updated in June 2015. Because it centers on research methods and statistical reasoning rather than menus, it holds up, but the screenshots come from an older SPSS version.

See SPSS For Research on Udemy →

3. Statistics / Data Analysis in SPSS: Inferential Statistics — best for specific tests

Sometimes you do not need a whole course, just one test done correctly. Quantitative Specialists’ inferential-statistics course is rated 4.7 from 2,122 ratings (13,146 students, last updated November 2016). It belongs to a modular series that breaks SPSS down by analysis type, so you can target exactly the test your study needs:

• Inferential Statistics: the most-rated course in the series (4.7, 2,122 ratings).
• Descriptive Statistics: the descriptive half of the same series (4.4, 1,477 ratings, last updated November 2016).
• Factorial ANOVA: two-way and higher designs with interactions (4.4, 201 ratings, last updated November 2014).

4. Quantitative Research in Education with IBM SPSS — Coursera (Sage)

Sage Publications, the academic publisher behind many statistics textbooks, offers this 12-module course on Coursera. It covers quantitative research in education using IBM SPSS, which makes it the most relevant Coursera option for education theses and program evaluation. It is new enough that it shows no rating yet, so weigh it on the publisher and the syllabus. Sage also offers SPSS courses for political science and international relations on Coursera. You can preview the first module free; the certificate needs the paid track or Coursera Plus, which costs $59 a month.

5. Apply SPSS Fundamentals for Data Analysis — Coursera (EDUCBA)

A short Coursera course from EDUCBA: two modules, roughly four hours, rated 4.6 from only 18 reviews, with 2,340 learners enrolled. It introduces SPSS fundamentals for data analysis. Treat it as a fast orientation rather than a full course; the small number of reviews means the rating is not yet a strong signal.

See Apply SPSS Fundamentals on Coursera →

6. SPSS: Wrangling, Visualizing, and Modeling Data — LinkedIn Learning

If you searched for LinkedIn Learning’s “SPSS Statistics Essential Training,” that address now redirects to SPSS: Wrangling, Visualizing, and Modeling Data, a 5 hour 52 minute intermediate course by Barton Poulson. As the title says, it covers wrangling, visualizing and modeling data in SPSS. It is a good fit if you already have LinkedIn Learning through work or school. We do not earn a commission from LinkedIn Learning.

7. Getting started with SPSS — OpenLearn (free)

The Open University’s Getting started with SPSS is a free, three-hour introductory course (Level 1) that walks through SPSS step by step and awards a free statement of participation. It was recommended in an r/spss thread asking for a reputable, self-paced course, and it costs nothing. Pair it with PSPP if you do not yet have an SPSS license.

What you’ll learn in an SPSS course

• The SPSS interface: Data View, Variable View and the menu-driven workflow.
• Data preparation: importing, cleaning, recoding, computing new variables and handling missing values.
• Descriptive statistics: frequencies, summaries, cross-tabulations and charts.
• Inferential statistics: t-tests, ANOVA, chi-square and correlation.
• Regression: linear and logistic regression for prediction and modeling.
• Checking assumptions: normality, homogeneity of variance and outliers, which examiners look for.
• Reporting: reading the output correctly and writing it up in APA style for a paper or thesis.

Is there an SPSS certification?

Not one that carries the weight of SAS’s exams. We could not find a current IBM SPSS Statistics certification exam on IBM’s training site on 1 November 2026, so be wary of any course that promises an “official SPSS certification.” What you can earn are certificates of completion from Udemy, Coursera and LinkedIn Learning, and a statement of participation from OpenLearn.

In practice, SPSS skill is judged by what you can do: choose the right test, check its assumptions and report it correctly. For students, the goal is competence for a thesis or a job. If you need a recognized statistics credential, SAS certification or a university statistics certificate (see our best statistics courses) will serve you better.

How much does SPSS cost?

On 1 November 2026, IBM’s SPSS Statistics pricing page listed the base subscription at a starting price of $99 per authorized user, with add-on packages (advanced statistics, forecasting, complex samples) starting at $79. IBM says the prices are indicative, vary by country, and renew at the then-current price after the first year. IBM also offers a free trial, and announced version 31 of SPSS Statistics.

Most students should not pay list price: universities commonly provide SPSS free through a campus license, so check with your library or IT department before buying. If you only need to learn the concepts, the free options below are enough.

Free ways to learn (and use) SPSS

• IBM’s free trial of SPSS Statistics, started from IBM’s product page; plan a short course around it.
• A university license: many universities give students SPSS at no cost.
• PSPP (gnu.org/software/pspp): a free, open-source program that mirrors much of SPSS’s core functionality and interface. The current release is 2.1.3.
• SPSS’s own tutorials: under Help > Topics, SPSS includes tutorials and case studies; r/spss regulars point beginners there first.
• OpenLearn (pick 7): a free three-hour course with a statement of participation.
• A textbook: Andy Field’s Discovering Statistics Using IBM SPSS Statistics (6th edition, February 2024) is the book recommended in r/spss resource threads for learning statistics and SPSS together.

A sensible free path: install PSPP or start an IBM trial, do the OpenLearn course, then work through the SPSS tutorials before deciding whether to buy a full course.

SPSS Statistics vs SPSS Modeler

IBM sells two products with “SPSS” in the name, and searchers often mix them up. SPSS Statistics is the menu-driven statistics package covered on this page: tests, regression and reporting, used mainly in research. SPSS Modeler is a separate data-mining and predictive-analytics tool where you build models by connecting nodes on a canvas, aimed at business analysts.

If your course, thesis or job description says “SPSS,” it almost always means SPSS Statistics. If you do need Modeler, IBM SPSS Modeler: Getting Started on Udemy (4.4 from 428 ratings) is the most-rated introduction, though it was last updated in May 2014.

SPSS vs R vs Python — which should you learn?

If your work is academic or social-science research and your department uses SPSS, learn SPSS: it is the expected tool and its point-and-click workflow is the fastest route to results without coding. If you are heading toward data science or industry analytics, or want free and flexible tools, R (especially strong for statistics) or Python are better long-term investments. Many researchers learn SPSS first for their studies, then pick up R or Python as their analyses grow. Match the tool to your field’s expectations.

How to choose the right course

• Want one complete, current course: the SPSS Masterclass.
• Working on a thesis or research project: SPSS For Research.
• Need one specific test (ANOVA, regression, chi-square): the Statistics in SPSS series.
• Education research: Sage’s Quantitative Research in Education with IBM SPSS.
• No budget: OpenLearn plus PSPP and SPSS’s built-in tutorials.
• Need a recognized statistics credential: look at SAS certification or a university statistics course instead.

SPSS for your field

SPSS shows up differently across disciplines, and the courses above cover each:

• Psychology and social sciences: the classic SPSS home: t-tests, ANOVA and regression for experimental and survey data. SPSS For Research fits best, alongside Andy Field’s textbook.
• Health and medical research: group comparisons, survival analysis and reporting for papers; the research and inferential-statistics courses both apply.
• Education research: survey analysis and reliability testing for theses and program evaluation; Sage’s Coursera course is built for this.
• Market research: segmentation, cross-tabs and significance testing on survey data; the Masterclass’s broad coverage works well.

Whatever the field, the deciding skill is not clicking the menus. It is choosing the right test and interpreting the output correctly, which the better courses emphasize.

Frequently asked questions

What is the best SPSS course?

For one current, all-round course, the SPSS Masterclass on Udemy: updated April 2026, rated 4.2 from 6,986 ratings, 36,260 students. For a thesis or dissertation, SPSS For Research (4.4 from 2,326 ratings, 46,446 students) is framed around the analyses researchers report. For a single test, the Statistics in SPSS series (4.7 for its inferential-statistics course) is the most focused.

Can I learn SPSS for free?

Yes. The Open University’s free OpenLearn course Getting started with SPSS takes about three hours and awards a statement of participation. SPSS also ships its own tutorials under Help > Topics, and PSPP is a free program that mirrors much of SPSS’s interface. IBM offers a free trial of SPSS Statistics, and many universities give students a free license.

Is there an SPSS certification?

Not in the way SAS has one. We could not find a current IBM SPSS Statistics certification exam on IBM’s training site on 1 November 2026. Courses issue certificates of completion (Udemy, Coursera, LinkedIn Learning), and OpenLearn issues a statement of participation. Employers and supervisors judge SPSS skill by whether you can choose the right test and report it correctly.

How much does SPSS cost?

IBM’s pricing page listed the SPSS Statistics base subscription at a starting price of $99 per authorized user on 1 November 2026, with add-on packages from $79. IBM notes that prices vary by country and that subscriptions renew at the then-current price. Students usually get SPSS through their university instead.

How long does it take to learn SPSS?

SPSS is menu-driven, so you can run basic analyses within a few days. Getting comfortable with the common research tests (t-tests, ANOVA, chi-square, correlation and regression) and reporting them correctly takes a couple of weeks of practice alongside a course.

Is SPSS still used in 2026?

Yes, especially in psychology, health, education and social-science research, and in some market research. IBM announced version 31 of SPSS Statistics. In industry data science it has largely given way to R and Python.

What is the difference between SPSS Statistics and SPSS Modeler?

SPSS Statistics is the menu-driven statistics package researchers use for tests and regression. SPSS Modeler is a separate IBM product for visual data mining and predictive modeling, built by connecting nodes into a stream. Most students and researchers need SPSS Statistics.

Should I learn SPSS or R?

If your department or field expects SPSS, learn SPSS: it is the fastest path to results without coding. If you want free, flexible tools that carry into industry data work, R or Python is the better long-term investment. Many researchers use both.

Related guides

• Best statistics courses: the theory behind the tests
• Best Python courses: the free, code-first route to statistics
• Best SAS courses: the certification-heavy alternative
• Best data analytics certificates: where these skills lead
• Best data science courses: the broader career path