Introduction:

The Statistical Package for the Social Sciences (SPSS) is one of the most widely used software tools for statistical analysis in social sciences, business, education, health, and many other fields. This course is designed to provide learners with both the theoretical understanding and practical skills required to confidently use SPSS for data management, analysis, and interpretation.

Participants will be introduced to the SPSS interface, data entry procedures, coding, and cleaning techniques, followed by step-by-step guidance on conducting descriptive and inferential statistics. The course will cover essential analyses such as t-tests, ANOVA, correlation, regression, and reliability analysis, alongside hands-on practice with real datasets. Emphasis will be placed on interpreting outputs correctly, reporting results according to academic and professional standards, and applying findings to real-world contexts.

By the end of this course, learners will be able to:

• Manage and prepare data effectively in SPSS.
• Conduct appropriate statistical tests based on research objectives.
• Interpret and report results in a clear, accurate, and professional manner.
• Apply statistical reasoning to support evidence-based decision making.

Unique Selling Propositions:

2. Research + Career Focused – Unlike generic tutorials, this course is tailored to academic assignments, theses, and publications, giving UMT students a real advantage in completing projects, publishing papers, and boosting grades.

3. Hands-On with Real Data – Students will practice on actual psychology, management, and social sciences datasets, not just theory, ensuring practical confidence.

4. Step-by-Step Support – Personalized guidance, Q&A sessions, and help with UMT course projects or research theses. Students get mentorship, not just lectures.

5. Certification & Credibility – Get a professional certificate endorsed by an experienced lecturer of Applied Psychology, adding value to CVs, job applications, and research portfolios.

6. Affordable & Exclusive to UMT Students – Designed at a student-friendly price, making advanced statistical training accessible within UMT campus.

7. Future Research Advantage – Skills gained will directly help in MPhil/PhD applications, international scholarships, and publications—giving students a competitive edge.

Who should Join:

BS/MS/PhD students (Psychology, Business, Education, Sociology, Health, CS)

MPhil & PhD scholars working on theses/publications

Researchers & faculty aiming for Q1/Q2 publications

Professionals in social sciences, business, and health fields

Students applying abroad for higher studies/scholarships

1. Psychology & Applied Psychology

2. Management & Business Studies

3. Education

4. Sociology & Social Sciences

5. Health & Medical Sciences

6. Computer Science & IT (Research Focused)