1. Descriptive Statistics
- Summary statistics (mean, median, mode, standard deviation)
- Data cleaning and formatting
- Frequency tables and distributions
2. Hypothesis Testing
- T-tests (independent, paired)
- Z-tests
- Chi-square tests
- ANOVA (one-way, two-way)
- P-value interpretation and confidence intervals
3. Regression Analysis
- Linear regression (simple, multiple)
- Logistic regression
- Correlation analysis
- Model fitting, diagnostics, and interpretation
4. Advanced Statistical Modeling
- Time series analysis (ARIMA, trend analysis)
- Multivariate analysis (PCA, MANOVA)
- Survival analysis
- Bayesian statistics
5. Software-Specific Analysis
- SPSS / R / Python / Excel / Stata / SAS
- Script writing and code debugging
- Visualization (plots, graphs, dashboards)
6. Academic or Research Support
- Statistical analysis for theses/dissertations
- Power analysis/sample size calculation
- Result interpretation and write-up assistance