- 11 Sections
- 38 Lessons
- 70 Hours
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- 1. Introduction to STATA & Data Types4 ItemsGet started with STATA and learn about data types and variable structures.
- 2. Descriptive Statistics (Qualitative & Quantitative Data)4 ItemsData Importing and Management Basic Commands and Data Cleaning Generating Variables and Summary Statistics Data Visualization Tools
- 3. Numerical and Graphical Methods for Quantitative Data3 ItemsUnderstand key metrics and plots for numerical data analysis.
- 4. Correlation Analysis5 ItemsMeasure the strength and direction of relationships between variables.
- 5. Inferential Statistics & Hypothesis Testing3 ItemsPopulation vs Sample Central Limit Theorem Confidence Intervals Parametric & Non-Parametric Hypothesis Testing t-test, ANOVA Mann-Whitney U, Kruskal-Wallis
- 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 Analysis4 ItemsSimple Linear Regression (OLS) Assumptions of OLS Interpretation of Output Residual Analysis and Model Fit
- 7. Multiple Regression Analysis3 ItemsMultiple Linear Regression Multicollinearity & Model Diagnostics Dummy Variable Regression Log-Linear and Log-Log Models
- Dummy Variable Models4 ItemsUse categorical predictors in regression through dummy variables.
- 9. Advanced Econometric Issues3 Items
- 10. Econometric Modelling & Specification3 ItemsLearn to build accurate models with diagnostic and selection tools.
- 11. Health Statistics Module2 ItemsApply statistical tools to survival and observational health studies.