SPSS for statistical Data Analysis

About

This comprehensive Introduction to SPSS for Data Analysis course covers essential topics from basic navigation to advanced statistical techniques, running from May 10–31, 2025. Participants will start by learning how to install and use SPSS, including its Data, Output, and Syntax windows, before moving on to importing data from various file formats (.xlsx, .csv, .sav, etc.) and working with Data and Variable Views. The course then explores data manipulation techniques like sorting, merging, and binning, followed by variable management, including recoding and summarization. Later sessions focus on exploratory data analysis, including frequency tables, descriptive statistics, histograms, and graphs, before diving into statistical analysis—covering hypothesis testing, p-values, confidence intervals, t-tests, correlation, and regression (both simple and multiple linear). A bonus chapter for R users highlights integrating R with SPSS. Designed for students, researchers, and professionals, this hands-on course ensures participants can efficiently manage data, perform statistical tests, and interpret results using SPSS. Enroll now to build your data analysis skills!

Course leader

dr. Emmanuel Abatih

Target group

Anyone at the early stages of research can attend this course. A basic knowledge of statistics would be an advantage

Course aim

This course is designed to equip participants with practical SPSS skills for efficient data management, analysis, and visualization. By covering fundamental to advanced techniques—from data import to statistical testing—it empowers learners to confidently analyze datasets and interpret results. Hands-on exercises ensure proficiency in hypothesis testing, regression, and data manipulation, while the bonus module bridges SPSS with R for enhanced flexibility. Ideal for students and professionals, the course builds a strong foundation for evidence-based decision-making using SPSS

Fee info

Course Participation