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SPSS for Data Analysis
A Beginner's Guide to Statistical Analysis with IBM SPSS
Start this free courseThis hands-on, beginner-friendly course introduces you to IBM SPSS, one of the most widely used tools for statistical analysis in academic and applied research. You will learn to navigate the SPSS environment, prepare and clean data, run common descriptive and inferential analyses, and interpret and report your results correctly. Designed for mobile and offline study, the course uses clear examples relevant to African university and research contexts, so you can build practical, transferable data-analysis skills at your own pace.
What you'll learn
- Navigate the SPSS interface and manage data using the Data View and Variable View.
- Prepare, clean, and transform datasets by defining variables, handling missing data, and recoding.
- Generate and interpret descriptive statistics and appropriate charts.
- Apply common inferential tests including t-tests, chi-square, correlation, and one-way ANOVA.
- Interpret SPSS output tables and report results in APA-style format.
Course sessions
- Getting Started with SPSS. SPSS organizes work across the Data Editor, Output Viewer, and Syntax Editor, storing data in .sav files with rows as cases and columns as…
- Defining Variables and Preparing Data. Setting up variables correctly—names, types, labels, values, missing codes, and measurement levels—and checking with Frequencies gives you…
- Transforming and Managing Data. SPSS transformation tools—Recode, Compute, Select Cases, Split File, and Sort—let you reshape data to answer specific questions, as long as…
- Descriptive Statistics and Visualisation. Descriptive statistics and visualisations in SPSS let you summarise categories, central tendency and spread, then present them clearly with…
- Inferential Statistics: Comparing and Relating Variables. Choosing the right inferential test depends on your variable types; run it in SPSS, then interpret both the p-value for significance and an…
- Interpreting and Reporting Results. Interpreting SPSS means finding the test statistic, p-value, and effect size, then writing them as clear APA-formatted sentences while avoi…
Sample lesson: Getting Started with SPSS
SPSS (Statistical Package for the Social Sciences) is software for organizing and analyzing data. When you open SPSS, you meet three key windows. The Data Editor holds your dataset and has two tabs at the bottom: Data View and Variable View. The Output Viewer displays your results, tables, and charts. The Syntax Edito…
Competencies you'll gain
- Setting up and managing datasets in SPSS with correctly defined variables
- Cleaning and transforming data for analysis
- Producing and interpreting descriptive statistics and visualisations
- Selecting and running appropriate inferential statistical tests
- Reporting statistical results accurately in APA format
Frequently asked questions
Is the SPSS for Data Analysis course free?
Yes. SPSS for Data Analysis is a free EFIKO Original micro-certificate course — you can learn it at no cost and earn a verifiable certificate on completion.
Do I get a certificate for SPSS for Data Analysis?
Yes. Pass the final assessment and you earn a verifiable EFIKO certificate with a QR code and public verification link, listing the competencies you achieved.
How long does SPSS for Data Analysis take?
About 5 hours across 6 short sessions, each with a lesson, quiz and flashcards. You can learn at your own pace, even offline.
Who is SPSS for Data Analysis for?
It is designed for university students and researchers, at a beginner level. No prior experience is assumed.