This practical SPSS training course is designed for MBA students, management researchers, PhD scholars, research professionals and anyone who wants to learn statistical data analysis using IBM SPSS Statistics.

The course focuses on practical learning rather than only theoretical concepts. Students will learn how to import and enter data into SPSS, define variables, code data, clean datasets and prepare data for statistical analysis.

The course covers important statistical techniques used in academic research and business analytics, including descriptive statistics, frequency analysis, cross-tabulation, correlation, regression analysis, independent sample t-test, paired sample t-test, ANOVA, chi-square test and reliability analysis using Cronbach’s Alpha.

Students will also learn how to select the appropriate statistical test based on their research objectives and variables. Special emphasis will be given to interpreting SPSS output and presenting statistical findings in research reports, dissertations, projects and academic papers.

The classes are conducted in a step-by-step practical format with examples and datasets. Students can also bring their own research data or project-related questions for guidance.

Key focus areas:

• SPSS fundamentals and data management

• Descriptive and inferential statistics

• Hypothesis testing

• Correlation and regression

• t-test, ANOVA and chi-square

• Reliability analysis

• Interpretation of SPSS output

• Research project and dissertation data analysis

Suitable for: MBA students, PhD scholars, researchers, research professionals and working professionals.

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