SPSS Essentials

Overview

Course Description

Introductory SPSS course for professionals and researchers new to statistical software. Builds the core data management and descriptive statistics skills needed before moving into inferential analysis.

Prerequisites: Level 1 (Essential Data Literacy) or basic data literacy

Career Relevance

Jobs: Research Assistant, M&E Officer, Junior Data Analyst (₦2-3M annually)
Entry point into research and academic analytics pathways
Next step: SPSS for Research Analytics, Statistics for Analytics

Navigate the SPSS interface and manage datasets
Define variables, codebooks, and data types correctly
Clean and prepare survey/research data in SPSS
Conduct descriptive statistics and frequency analysis
Produce basic charts and cross-tabulations
Interpret and report SPSS output for non-technical audiences

Module 1: SPSS Interface & Data Setup
SPSS interface: Data View vs Variable View

Importing data (Excel, CSV, Kobo/Google Forms exports)

Defining variable types, labels, and value labels

Practice Project

Module 2: Data Cleaning & Coding
Identifying and handling missing data

Recoding and computing new variables

Building a codebook

Practice Project

Module 3: Descriptive Statistics
Measures of central tendency and dispersion

Frequency tables

Descriptive statistics for different variable types

Practice Project

Module 4: Cross-Tabulation & Basic Charts
Cross-tabulations and basic chi-square

Creating charts and graphs in SPSS

Formatting output for reports

Practice Project
Module 5: Capstone & Portfolio
Capstone Project

Portfolio

Level:        Beginner
Duration:     5 weeks
Physical Fee: ₦45,000
Virtual Fee:  ₦36,000

Next Cohort
Physical: 8th August, 2026
Virtual: 15th August, 2026

Enroll Now

SPSS Essentials

Course Description

Career Relevance

Certification Requirements

Vision Statement:

Mission Statement: