SPSS COURSE — NOW ENROLLING
Master Research Analysis with SPSS. From Data to Decisions.
A complete, practical course for researchers, postgraduate students, and healthcare professionals who want to analyze data with confidence, and report results that command respect.
COURSE AT A GLANCE
WHO THIS IS FOR
Built for real researchers, not just SPSS users.
This course was designed around the actual challenges faced by people who work with research data every day, not a generic statistics textbook.
Postgraduate Students
Writing a thesis or dissertation and need to analyze your survey or experimental data properly, without the panic of a defense date approaching.
Academic Researchers
Publishing studies, running surveys, or working with institutional data and need to run reliable, defensible analyses that meet journal standards.
Healthcare & NGO Workers
Analyzing program data, health outcomes, or field surveys to write reports for funders, government bodies, or medical journals.
THE REAL PROBLEM
Most people struggle with SPSS because they were never taught research thinking.
- You run a test, get output, and have no idea what it actually means for your research
- You're not sure which statistical test to use — so you guess, or copy what someone else did
- You can't explain your results clearly in a defense, donor report, or journal submission
- You've watched YouTube tutorials but still feel stuck when it's your own real data
- Your data fails normality tests and you don't know what to do next
“The problem isn’t SPSS. It’s that nobody taught you to think like a researcher first.”
— Course Philosophy
This course fixes that at the root. You’ll learn SPSS inside a research workflow, so every test you run has a purpose, every output tells a story, and every result you present is one you fully understand and can defend.
WHAT YOU’LL LEARN
A curriculum built around your research journey.
Every module follows the natural flow of a real research project; from understanding your data, to analyzing it, to reporting it with confidence.
- ▶ Understanding Research — Quantitative vs Qualitative
- ▶ Statistics Basics: Variables, Scales, Descriptive vs Inferential
- ▶ Survey Design & Data Collection Best Practices
- ▶ Installing & Navigating SPSS
- ▶ Entering & Organizing Data in SPSS
- ▶ Importing Data from Excel, CSV & Google Forms
- ▶ Data Cleaning Part 1: Missing values, outliers, entry errors
- ▶ Data Cleaning Part 2: Recoding & computing variables
- ▶ Validating Data & Checking Assumptions
- ▶ Frequencies & Percentages
- ▶ Central Tendency & Dispersion (Mean, SD, Range)
- ▶ Distribution Measures: Skewness, Kurtosis, Percentiles
- ▶ Data Visualization: Charts, Histograms, Boxplots, Scatterplots
- ▶ Reporting Descriptive Statistics
- ▶ Understanding Reliability & Validity in Research
- ▶ Cronbach’s Alpha in SPSS
- ▶ Exploratory Factor Analysis — Introduction
- ▶ Interpreting & Reporting Scale Results
- ▶ Hypothesis Testing Fundamentals (p-values, significance, Type I & II errors)
- ▶ Checking Assumptions for Parametric Tests
- ▶ t-Tests: One-Sample, Paired & Independent
- ▶ One-Way ANOVA with Post Hoc Tests
- ▶ Correlation: Pearson & Spearman
- ▶ Simple & Multiple Linear Regression
- ▶ Introduction to Logistic Regression
- ▶ When & Why to Use Non-Parametric Tests
- ▶ Mann-Whitney U & Wilcoxon Signed-Rank
- ▶ Kruskal-Wallis Test
- ▶ Chi-Square Tests
- ▶ Survey Analysis End-to-End: Clean & Prepare
- ▶ Survey Analysis End-to-End: Analyze & Interpret
- ▶ Exporting Outputs for Word, Excel & Presentations
- ▶ Writing Results in APA & Professional Format
- ▶ Presenting & Defending Your Findings
- ⭐ Capstone Project: Full Research Analysis with Real Data
WHAT CHANGES FOR YOU
By the end, you won't just know SPSS. You'll think like a researcher.
Choose the right test, every time
No more guessing or copying what someone else did. You'll know exactly which test your data calls for, and why, before you even open SPSS.
Interpret outputs with confidence
Every table, p-value, and coefficient will mean something to you. You'll translate SPSS output into clear, accurate findings — in plain language or academic format.
Write results that pass scrutiny
From APA-formatted results sections to donor reports and thesis chapters — you'll produce professional write-ups that reviewers and supervisors respect.
Defend your findings under pressure
Walk into a thesis defense, a funder meeting, or a research presentation knowing your numbers, your methods, and your story — cold.
MEET YOUR INSTRUCTOR
Chris Awoke
Data Analyst · Educator · Founder, Wikrena
Chris is a self-taught data analyst and front-end engineer with over 7 years in the technology industry, having transitioned from a background in biological sciences. He founded Wikrena — a data, AI, and analytics company helping businesses and professionals across Africa drive smarter decisions through data.
His teaching philosophy is simple: data education should be practical, accessible, and deeply connected to the real problems people are trying to solve. This course is the product of that belief.
- 7+ years in data analytics and technology
- Background in biological sciences — understands research firsthand
- Founder of Wikrena, a growing analytics & education company
- Trained professionals and students in data analytics across Nigeria
PRICING
One course. Three ways to go deeper.
Choose the tier that fits your goals. All tiers include lifetime access and the full video curriculum.
Starter
₦15,000
one-time payment
- → Full video curriculum (34 lessons)
- → Lifetime access
- → Downloadable datasets
Professional
₦35,000
one-time payment
- → Everything in Starter
- → Module cheat sheets (PDF)
- → Capstone project + feedback
- → Certificate of completion
- → APA reporting templates
Premium
₦55,000
one-time payment
- → Everything in Professional
- → 1 live group Q&A session
- → Priority email support
- → Bulk license for institutions
QUESTIONS
Things people usually ask.
Still unsure? Reach out directly and we’ll help you figure out if this course is the right fit.
No. The course starts from the very beginning — assuming no prior experience with SPSS or formal statistics. What helps is having a research question or project in mind, because the content is designed to feel immediately relevant to real work.
The course uses IBM SPSS Statistics 27/28. Most lessons are compatible with versions 22 and above. If you’re using an older version, core concepts still apply, though some interface elements may differ slightly.
Absolutely. The statistical methods, SPSS workflows, and reporting standards taught here are internationally recognized. Whether you’re in Nigeria, Ghana, Kenya, the UK, or elsewhere — if you do research, this course applies to you.
Certificates are included in the Professional and Premium tiers upon completing the capstone project. The certificate is issued under the Wikrena brand and confirms practical proficiency in research data analysis with SPSS.
Yes — bulk licensing is available for institutions, departments, and NGOs. Contact us directly for pricing on groups of 10 or more students.
Your data has a story. Learn to tell it.
Stop second-guessing your analysis. Stop struggling with outputs you don’t fully understand. Enroll today and build the research analysis skills that will serve you for the rest of your career.
Wikrena
Practical Research & Data Analysis with SPSS
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