The Essential Guide to Stata

The Essential Guide to Stata udemy course

Accelerate Your Data Analytics Journey with Stata

[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 ANOVA

  • Regression (OLS, model diagnostics, and model building)

  • Hypothesis Testing

  • Binary Outcome Models (Logit and Probit)

  • Fractional Response Models

  • Categorical 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-Differences

  • Instrumental Variables (Endogenous Variables, Sample Selection, Non-Linear Endogenous Models)

• Epidemiological Tables: Cohort studies, case-control studies, and matched case-control studies.

• Power Analysis: Determining sample size, power size, and effect size.

• Matrix Operations: Operators, functions, and subscripting in Stata.

Who This Course is For"

• Beginners to Stata who want a structured, hands-on overview of the platform.

• Analysts, Researchers, and Students looking to expand their analytics toolkit with a robust, professional statistical package.

• Professionals in academia, business, or government who need efficient methods for real-world data handling and interpretation.

Prerequisites:

• No previous experience with Stata is required.

• Some familiarity with basic statistics is helpful but not mandatory.

• This course focuses on applying statistical methods in Stata rather than teaching pure statistical theory.

By mastering these essentials, you’ll be ready to tackle a wide variety of analytic challenges with confidence. Join me in The Essential Guide to Stata and take a major step forward in your data analytics journey!