GESIS Training Courses

Scientific Coordination

Sebastian E. Wenz
Tel: +49 221 47694-159

Administrative Coordination

Jacqueline Schüller
Tel: +49 0221 47694-160

Short Course C: Introduction to Stata for Data Management & Analysis

Online via Zoom
Course duration:
10:00-15:00 CEST
General Topics:
Course Level:
Software used:
Students: 200 €
Academics: 300 €
Commercial: 600 €
Additional links
Lecturer(s): Irina Bauer, Annika Stein

About the lecturer - Irina Bauer

About the lecturer - Annika Stein

Course description

This online short course will give a thorough introduction to the statistical software Stata. It is tailored to the needs of academics and other research practitioners who are new to Stata or who wish to refresh their skills. The course will not cover basic statistical methods and their underlying mathematics but will focus on their practical application using family demographic survey data in Stata.
In the first part of the course, we will cover the program's interface and introduce its syntax structure and basic rules for writing clean and reproducible Stata code. Subsequently, we aim at enhancing the participants' skills in hands-on data management, common data analyses, and the visualization of results. Depending on the participants' prior knowledge, we might provide further insight into the automatization of data wrangling and analysis procedures and the export of publication-ready results. Additionally, we will review available help and support features (online and offline) to equip participants with the necessary knowledge to further develop their skills and solve occurring problems. This course will be interactive and case-based in nature.
A detailed syllabus with course times and literature will soon be available for download here.

Target group

Participants will find the course useful if:
  • they are new to statistical computing (with Stata).
  • they are familiar with other statistical software but want to get to know Stata.

  • Learning objectives

    By the end of the course, participants will:
  • be familiar with Stata's interface and facilities.
  • understand how to integrate Stata into their research process to create reproducible and publication-ready results.
  • know how to solve common data management problems in Stata and how to document all modifications of the data.
  • be able to perform typical descriptive and inferential statistical procedures and use graphs to communicate their results effectively.
  • know how to proceed from here and get additional support if needed.
    Organizational structure of the course
    The course is offered as an expanded short course consisting of 12 hours of interactive group instruction, spread over three days. The course will alternate between short lectures and hands-on exercises. The two lecturers will be available to the students and support work on assignments. All necessary materials will be provided.


  • Familiarity with quantitative (survey) data
  • Basic knowledge of uni- and bivariate statistics (i.e., descriptive statistics, basics of regression analysis)
    Software and hardware requirements
    Participants need a laptop/desktop computer that enables them to access the internet and smoothly work with Stata. Participants will be provided with access to Stata licenses by GESIS but must install the software prior to the course on their own devices.