Course Overview: Welcome to the world of data-driven decision-making. This course is meticulously designed to simplify SPSS, the industry-standard software for social science research. Whether you are a psychology student struggling with thesis data or a market researcher looking for insights, this course bridges the gap between raw numbers and meaningful conclusions without requiring a background in advanced mathematics.

What You Will Learn: We have structured the curriculum into 3 distinct modules covering 10 comprehensive classes, taking you from opening the software for the first time to writing up your final results.

Module 1: Data Management & Preparation: Master the setup. Understand the critical difference between Data View and Variable View, learn how to define measurement scales correctly, and acquire skills in cleaning messy data—the most important step before any analysis begins.

Module 2: Descriptive Statistics & Visualization: Learn to tell the story of your data. Dive into techniques for summarizing large datasets using means and standard deviations, and discover how to generate professional-quality graphs and charts to visualize trends effectively.

Module 3: Inferential Statistics & Reporting: Move from description to prediction. Gain the confidence to run hypothesis tests—including T-tests, ANOVA, and Linear Regression—and, most importantly, learn how to interpret the "Output Window" and report results in standard Academic (APA) format.

Who Should Attend:

• Undergraduate and Postgraduate students in Psychology, Sociology, Education, and Business.

• NGO and Market Research professionals who deal with survey data.

• Anyone needing to analyze questionnaire or survey results for a thesis or project.

Outcome: By the end of this course, you will have the practical skills to enter and clean your own datasets, choose the correct statistical test for your hypothesis, and independently interpret SPSS outputs for your research papers.