- 11 Sections
- 38 Lessons
- 70 Hours
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- 1. Introduction to STATA & Data TypesGet started with STATA and learn about data types and variable structures.4
- 2. Descriptive Statistics (Qualitative & Quantitative Data)Data Importing and Management Basic Commands and Data Cleaning Generating Variables and Summary Statistics Data Visualization Tools4
- 3. Numerical and Graphical Methods for Quantitative DataUnderstand key metrics and plots for numerical data analysis.3
- 4. Correlation AnalysisMeasure the strength and direction of relationships between variables.5
- 5. Inferential Statistics & Hypothesis TestingPopulation vs Sample Central Limit Theorem Confidence Intervals Parametric & Non-Parametric Hypothesis Testing t-test, ANOVA Mann-Whitney U, Kruskal-Wallis3
- 5.1Hypothesis Testing: p-value, confidence intervals, test statistics
- 5.2Null vs Alternative Hypothesis, Type I & II Errors
- 5.3Tests Covered: z-test • t-test (one-sample, two-sample, paired) • Proportion tests • ANOVA (One-way & Two-way) • Normality tests (Skewness/Kurtosis, Shapiro-Wilk) • Non-parametric tests (Wilcoxon, Kruskal-Wallis)
- 6. Two-variable Regression AnalysisSimple Linear Regression (OLS) Assumptions of OLS Interpretation of Output Residual Analysis and Model Fit4
- 7. Multiple Regression AnalysisMultiple Linear Regression Multicollinearity & Model Diagnostics Dummy Variable Regression Log-Linear and Log-Log Models3
- Dummy Variable ModelsUse categorical predictors in regression through dummy variables.4
- 9. Advanced Econometric Issues3
- 10. Econometric Modelling & SpecificationLearn to build accurate models with diagnostic and selection tools.3
- 11. Health Statistics ModuleApply statistical tools to survival and observational health studies.2
Types of data: Cross-sectional vs Time Series
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