SPSS for Statistical Analysis

Master IBM SPSS for social science research, survey analysis, and statistical reporting — the most widely used statistical tool in academic and applied research.

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4 Weeks
Duration
Beginner – Advanced
Level
Online & In-Person
Mode
Certificate
Award
📅
4 Weeks

Course Duration

4 weeks of structured sessions covering SPSS from data entry through to advanced statistical analysis. Flexible scheduling for groups.

Certificate Included

Upon Completion

Receive an official ResearchBridge Certificate of Completion upon passing the practical assessment. Shareable on LinkedIn and recognised by employers.

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Online & In-Person

Flexible Delivery

Live online sessions via Zoom, self-paced online learning, or in-person sessions in Kigali. All modes earn the same certificate.

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Individual & Group

All Welcome

Enrol individually or as a group of 5 or more for discounted pricing. Custom packages available for NGOs and institutions.

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Hands-on

Practical Sessions

Every session uses real survey and research datasets. You run analyses and interpret outputs you can apply directly to your own work.

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About This Course

IBM SPSS Statistics is one of the most widely used statistical software packages in academic research, healthcare, social sciences, and market research. Its point-and-click interface makes it accessible to researchers without programming backgrounds while still offering powerful statistical capabilities.

This course takes you from data entry and cleaning through to advanced statistical tests and reporting — with every session grounded in real research scenarios and datasets familiar to social science researchers.

Who Will Teach You

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ResearchBridge Expert Trainer

Statistician & SPSS Specialist

Our SPSS trainer has extensive experience using SPSS in social science research, health studies, and survey analysis. Sessions are clear, practical, and designed for researchers at all levels.

SPSS Survey Analysis Social Science Research Methods

What You Will Learn

1

Enter, import, and manage data confidently in SPSS Data View and Variable View

2

Clean datasets by handling missing values, recoding variables, and computing new ones

3

Run descriptive statistics and produce frequency tables and cross-tabulations

4

Conduct inferential tests — t-tests, ANOVA, chi-square, and correlation

5

Run linear and logistic regression and interpret outputs for research reporting

6

Produce publication-ready tables and charts and export results to Word and Excel

Where You Will Use These Skills

SPSS is used wherever survey data and social science research methods are applied. Here is how this course maps to real professional contexts.

Academic Research

Analyse questionnaire data for dissertations, run hypothesis tests, and produce results sections ready for academic submission.

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Health & Medical Research

Analyse patient data, run clinical trial statistics, and produce health outcome reports for publication or policy use.

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NGO Programme Evaluation

Analyse beneficiary surveys, measure programme outcomes, and produce evidence-based reports for donors.

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Market Research

Analyse consumer surveys, segment audiences, and produce insights reports for business decision-making.

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Government Surveys

Analyse census data, household surveys, and public opinion data for government planning and policy development.

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Psychology & Social Science

Run reliability tests, factor analysis, and behavioural data analysis for psychology and social science studies.

Module Breakdown

Module 1 SPSS Foundations +
  • Introduction to the SPSS interface
  • Data View vs Variable View explained
  • Defining variables — name, type, label, values
  • Entering and importing data from Excel and CSV
  • Saving and managing SPSS files
Module 2 Data Cleaning & Transformation +
  • Identifying and handling missing values
  • Recoding variables and creating categories
  • Computing new variables from existing ones
  • Sorting, selecting, and filtering cases
  • Splitting files and merging datasets
Module 3 Descriptive Statistics & Charts +
  • Frequencies, descriptives, and explore
  • Cross-tabulations and contingency tables
  • Charts — bar, pie, histogram, box plot
  • Editing charts in the Chart Editor
  • Exporting output to Word and Excel
Module 4 Inferential Statistics +
  • Independent samples and paired t-tests
  • One-way and two-way ANOVA
  • Chi-square test of independence
  • Pearson and Spearman correlation
  • Interpreting p-values and effect sizes
Module 5 Regression & Advanced Tests +
  • Simple and multiple linear regression
  • Binary logistic regression
  • Reliability analysis — Cronbach's alpha
  • Factor analysis basics
  • Writing up results in APA format

Watch a Sample Tutorial

Get a feel for SPSS before you enrol.

🎬 This is a sample public tutorial. Our full course covers advanced statistical analysis with real research datasets and structured exercises.

What Past Students Say

★★★★★

"I used what I learned in this course directly in my Master's thesis data analysis chapter. The regression module was especially clear."

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Sandrine U. Master's Student, Public Health
★★★★★

"Our research team now runs all our survey analyses in SPSS. The course saved us from outsourcing our data work entirely."

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Bernard M. M&E Coordinator, NGO
★★★★★

"Very practical and well paced. I went from never opening SPSS to confidently running regression analyses in four weeks."

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Yvonne T. Research Officer, Kigali

Frequently Asked Questions

Do I need SPSS installed before the course? +

Yes. SPSS is paid software but IBM offers a free 30-day trial. We will guide you through installation and licensing options before the first session.

Do I need prior statistics knowledge? +

Basic knowledge is helpful but not required. We explain the statistical concepts alongside the SPSS steps so you understand both the tool and the method behind it.

Will I get a certificate? +

Yes. All participants who complete the course and practical assessment receive an official ResearchBridge Certificate of Completion.

Can my organisation book this for a team? +

Yes. We offer group pricing for teams of 5 or more. Contact us for a custom quote and scheduling that suits your team.

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