The Essential Guide to Stata

About this course

[Updated with new Audio in 2025]Are you ready to unlock the power of Stata for data analytics? Whether you’re new to the platform or looking to build on existing skills, this course provides a comprehensive introduction to Stata and its many capabilities in modern data analysis. You’ll learn how to manipulate, explore, visualize, and model complex datasets, all while establishing “good practice” habits for efficient coding, thorough interpretation of output, and clear presentation of results.From the very first sessions, I emphasize practical application rather than complex statistical theory. By the end of the course, you’ll be confident in your ability to work with real-life datasets in Stata, selecting and applying the right methods for your analyses and interpreting results accurately.What You’ll Learn:Foundations of Stata: Installation, navigation, data loading, and basic housekeeping.Data Management: Cleaning, transforming, and restructuring data to prepare for analysis.Data Exploration and Visualization: Summaries, descriptive statistics, and creating clear graphs and charts.Statistical Techniques:Correlation and ANOVARegression (OLS, model diagnostics, and model building)Hypothesis TestingBinary Outcome Models (Logit and Probit)Fractional Response ModelsCategorical Choice Models (Ordered Logit, Multinomial Logit)Simulation Techniques (Random Numbers, Simulation)Count Data Models (Poisson, Negative Binomial)Survival Analysis (Parametric, Cox Proportional Hazard, Parametric Survival Regression)Panel Data Analysis (Long Form Data, Lags, Leads, Fixed/Random Effects, Hausman Test)Difference-in-DifferencesInstrumental Variables (Endogenous Variables, Sample Selec

Course objectives

• establish good practices for coding in Stata
• build confidence in working with real datasets
• choose and apply appropriate analytical methods