This course is designed to equip researchers, academicians, and students with the practical skills needed to analyze data using IBM SPSS Statistics. Whether you are working on a thesis, dissertation, or research project, this course will guide you step by step through the process of managing datasets, performing statistical tests, and interpreting results with confidence.
You will learn how to import and clean data, run descriptive and inferential statistics, conduct hypothesis testing, and generate high-quality tables and graphs for publication. With a hands-on, example-driven approach, this course ensures that you gain both the technical knowledge of SPSS and the ability to apply it effectively to your own research.
By the end of the course, you will be able to:
Navigate SPSS and manage datasets efficiently.
Perform descriptive statistics and explore data trends.
Conduct t-tests, ANOVA, correlation, and regression analysis.
Apply non-parametric tests for categorical and ordinal data.
Interpret outputs and report findings in a professional format.
This course is ideal for PhD scholars, postgraduate students, early-career researchers, and professionals who want to strengthen their data analysis skills and make their research more impactful.
Specialist in Research, Data Science & Quantitative Methods
Dr. Ajay Kumar Chauhan – PhD (Finance), MBA (Finance), M.Sc. (Mathematics)