STATA
Learn STATA for academic research and data analysis. Covers data management, regression techniques, hypothesis testing, and time series.
About this course
STATA is one of the most widely used statistical software packages in academic research across economics, public health, political science, and the social sciences. This course provides comprehensive training in STATA, from data import and management to advanced econometric techniques. Through live sessions, you will learn to clean and prepare datasets, perform descriptive statistics, run regression analyses, conduct hypothesis tests, and work with time series data. The curriculum is designed to align with the analytical needs of graduate researchers, PhD candidates, and professionals working with quantitative data in academic or policy environments.
What you'll learn
- Navigate the STATA interface and command syntax
- Import, clean, and manage datasets efficiently
- Perform descriptive statistics and data visualization
- Run OLS regression and interpret results
- Conduct hypothesis testing with confidence
- Apply panel data and time series techniques
- Generate publication-ready tables and outputs
Prerequisites
- Basic understanding of statistics
- Familiarity with research methodology
Course curriculum
6 modules • Live instructor-led sessions
- STATA environment and command window
- Importing data from Excel, CSV, and databases
- Data cleaning and variable management
- Labels, missing values, and data types
- Summary statistics and frequency tables
- Histograms, scatter plots, and box plots
- Cross-tabulations
- Correlation analysis
- Simple and multiple linear regression
- Interpreting coefficients and R-squared
- Dummy variables and interaction terms
- Diagnostic tests for regression
- t-tests and chi-square tests
- ANOVA and post-hoc analysis
- Non-parametric tests
- Confidence intervals
- Fixed effects and random effects models
- Hausman test
- Unit root tests
- Basic time series analysis
- Instrumental variables (IV/2SLS)
- Logit and probit models
- Exporting tables with estout/outreg2
- Reproducible research with do-files
Your instructor
Knowvate Faculty
Knowvate's faculty combines academic credentials from leading universities with professional industry experience. Every live session is taught by domain experts committed to your learning outcomes.