Week 1–2: Introduction to SPSS & Data Management
- SPSS interface, data view & variable view
- Importing datasets (Excel, CSV, SQL)
- Defining variables & labels
- Data cleaning & transformation basics
Week 3–4: Descriptive Statistics & Data Exploration
- Frequencies, cross-tabulations, descriptive measures
- Data visualization (bar, pie, histograms, boxplots)
- Exploring distributions & outliers
- Hands-on: Analyze survey data descriptively
Week 5–6: Inferential Statistics I
- Hypothesis testing principles
- Independent & paired sample t-tests
- ANOVA (one-way & post-hoc tests)
- Hands-on: Compare group differences in business/research data
Week 7–8: Inferential Statistics II
- Correlation (Pearson, Spearman)
- Simple & multiple regression analysis
- Chi-square tests for categorical data
- Hands-on: Predict outcomes with regression models
Week 9–10: Advanced Data Handling
- Data coding & recoding
- Splitting & merging datasets
- Weighting cases & handling missing values
- Reliability testing (Cronbach’s Alpha)
Week 11–12: Nonparametric Tests
- Mann-Whitney U test, Kruskal-Wallis test
- Wilcoxon signed-rank test
- Friedman test
- Case study: Nonparametric methods in market research
Week 13–15: Predictive Analytics in SPSS
- Introduction to SPSS Modeler
- Logistic regression analysis
- Factor analysis & principal component analysis (PCA)
- Cluster analysis basics
- Hands-on: Market segmentation with SPSS
Week 16–18: Advanced SPSS Applications
- Time series analysis in SPSS
- Decision trees (CHAID, CART)
- Discriminant analysis
- Multivariate analysis of variance (MANOVA)
Week 19–20: Capstone Project & Presentation
- Complete research/analytics project using SPSS
- Data preparation → analysis → interpretation → reporting
- Present results with tables, charts, and narrative reports
