Statistics / Data Analysis in SPSS

Master the art of data analysis using SPSS with this hands-on, project-based course designed for students, researchers, analysts, and professionals across business, education, healthcare, and the social sciences.

Whether you're just starting your journey into statistics or looking to solidify your SPSS expertise, this course equips you with the practical skills and analytical confidence to handle real-world data—from entry and cleaning to advanced statistical testing and reporting.

Course Highlights:

Fundamentals of Data Analysis
Understand the core concepts of data analysis, including types of analysis (descriptive, inferential, predictive, prescriptive) and data types (qualitative and quantitative). Learn the significance of data in research, decision-making, and problem-solving.

SPSS Essentials
Get introduced to SPSS software from the ground up. Explore its interface, navigation structure, and the core components: Data View, Variable View, Output Window, and Syntax Editor. You'll learn how to set up your environment for efficient data handling.

Data Entry, Importation, and Cleaning
Gain full control of your dataset by learning how to enter data correctly, import files from Excel, and clean up errors. Learn how to code variables, handle missing data, and validate entries for analysis-ready results.

Descriptive and Inferential Statistics
Run core statistical procedures in SPSS: calculate means, medians, correlations, regressions, t-tests, ANOVA, and chi-square. Learn to identify the appropriate statistical test for different types of research questions.

Parametric vs Non-Parametric Testing
Distinguish between parametric and non-parametric tests, and apply both in SPSS to suit your dataset. From Pearson correlation to Mann-Whitney U and Kruskal-Wallis, you’ll get comfortable choosing and interpreting statistical results.

Data Visualization with SPSS
Create impactful visuals like bar charts, histograms, boxplots, and pie charts to communicate your findings clearly. Customize and export charts for use in reports, presentations, and academic submissions.

Real-World Projects & Case Studies
Apply everything you've learned to practical, industry-relevant scenarios—from analyzing survey results to interpreting business and research datasets. You’ll use SPSS to clean, analyze, visualize, and interpret your data like a pro.

Capstone Project & Professional Reporting
Bring all modules together in a final data project of your choice. Analyze a dataset from start to finish and present your findings in a clean, APA-style report—building a portfolio-worthy analysis that proves your capability.

By the end of the Statistics & Data Analysis in SPSS course, you’ll not only understand the theories behind statistical analysis—you’ll be able to execute them confidently using SPSS. With real-world projects, professional-grade reporting, and data-driven insights, you’ll be ready to make an immediate impact in research, academics, or industry.

KEY QUESTIONS:

What are the course requirements?

Access to a laptop or computer.

Will the certificate be issued?

Yes, a certificate of completion will be issued at the end of the course at No charge.