Description

This 6-session course (1.5 hours each) is designed for participants who are new to Stata and want to build a strong foundation in using the software for data analysis. Each session combines guided instruction with a self-learning module, allowing participants to apply and reinforce what they’ve learned through hands-on practice.

Dates and schedule 

October 13-14, 2025

Day 1 – October 13, 2025 (Monday)

• Session 1: 09:00–10:30 CEST
• Session 2: 11:30–13:00 CEST
• Session 3: 14:00–15:30 CEST

Day 2 – October 14, 2025 (Tuesday)

• Session 4: 09:00–10:30 CEST
• Session 5: 11:30–13:00 CEST
• Session 6: 14:00–15:30 CEST

Session Plan

Session 1: Introduction to Stata

Get familiar with the Stata interface and basic usage. Learn how to open datasets, run simple commands, and write your first do-file.

Includes a self-learning module to practice loading data and creating a do-file.

Session 2: Merging and Managing Data

Learn how to merge datasets, label variables, and manage files. Understand the basic structure of a clean and organized dataset.

Includes a self-learning module focused on merging files and editing variables.

Session 3: Reproducible Workflows

Learn the principles of reproducible research and how to structure your projects using do-files and logs.

Includes a self-learning module to create a reproducible project setup.

Session 4: Cleaning and Exploring Data

Inspect, filter, and sort data. Learn how to deal with missing values and create new variables.

Includes a self-learning module to explore and clean example datasets.

Session 5: Descriptive Statistics and Regressions

Produce summary statistics and run simple regressions. Understand how to interpret the output and check for errors.

Includes a self-learning module to run and interpret your first regressions.

Session 6: Exporting Output

Learn how to export results and graphs to Word, Excel, or LaTeX. Create clear outputs for papers and reports.

Includes a self-learning module to practice exporting tables and figures.

Target Group

This course is designed for participants who are new to Stata. It is ideal for students, research assistants, and early-career researchers who want to gain confidence using Stata for data cleaning, analysis, and reporting.

Prerequisites

• No prior Stata experience required
• Access to Stata (version 15 or later, at least Intercooled)
• A basic understanding of statistical terms (e.g., mean, regression) is helpful but not required

Additional Information

• All teaching materials will be made available to participants
• A certificate of completion will be issued after the course

Your Instructor

The course is taught by Jan Sauermann, professor at IFAU in Uppsala and founder of StataTeX Blog, one of the leading blogs for Stata code and applied econometrics. He brings extensive teaching experience and deep knowledge of state-of-the-art empirical methods to this hands-on training.