What you'll learn
- An essential introduction to Stata
- Data manipulation in Stata
- Data visualisation in Stata
- Data analysis in Stata
- Regression modelling in Stata
- Simulation in Stata
- Count data modelling
- Categorical data modelling
- Survival analysis
- Panel Data Analysis
- Epidemiology
- Instrumental Variables
- Power Analysis
- Difference-in-Differences
Requirements
- There are no requirements
Description
[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!
Who this course is for:
- Anyone wanting to work with Stata
- Economics/Politics/Social Science students working with data
- Those working in policy and government analysing data
- Business managers using quantitative evidence
Instructor
Check out my twitter feed for regular promo codes.
Franz is a Professor of Economics at the University of Westminster. Franz joined the University of Westminster in 2006 after completing his PhD in Economics at Lancaster University.
Franz's personal research interests are in education economics, labor economics, and applied econometrics. Franz has made scientific contributions to issues such as social mobility, measuring the returns to education, the effect of weather of happiness and identity formation. He has been involved in numerous funded research projects from research councils and government departments.
Franz has contributed to wide range of projects including policy evaluation and bespoke econometric advice to UK government departments. These include the Ministry of Defence, HM Revenue and Customs, the Department for Education and the Department for Business, Innovation and Skills.
He has published in leading journals such as Economics of Education Review, the Oxford Bulletin of Economics and Statistics, the British Journal of Political Science and the British Journal of Sociology. Franz has also contributed to numerous policy reports and his research has been covered by media outlets such as BBC news, BBC Radio 4, The Economist, The Guardian, The Times, and Huffington Post. Franz also has a monthly radio program called Policy Matters on Share Radio.
Franz is an experienced online educator and has published several online courses including on LinkedIn Learning.
Franz is the Author of Graphs Everyone Should Know and How to Create Them in Stata (Stata Press) which is written for anyone who uses Stata to make graphs.