The Accounting Study Program, Faculty of Economics and Business (FEB), Universitas Sebelas Maret (UNS) has established a strategic collaboration with the Center for Economic, Social, and Governance Studies (CESGS) Universitas Airlangga through the organization of a Stata Training Class. The event took place on 7–8 August 2025 at the Project-Based Learning Laboratory, FEB UNS.

Designed specifically for lecturers of the Accounting Study Program FEB UNS, the training covered both beginner and intermediate topics, enabling participants who were new to Stata as well as those seeking to master advanced techniques to gain optimal benefits. The first day began with a session titled Using Stata Effectively: The Fundamentals, introducing the Stata interface, database management, and the use of do-files to facilitate the script-based command feature in data analysis.

The materials were presented by Hamidah Dwi Nita, assisted by Meifaza Ainur Rosyidah and Cindi Nandita Dewi. Participants engaged in hands-on practice, from data cleaning and variable construction to applying descriptive and inferential statistical analyses. The session also discussed techniques for creating informative graphs and reproducible reports to enhance the quality of academic publications and ensure transparency in the analysis process.

On the second day, the focus shifted to Panel-Data Analysis Using Stata, covering concepts and applications of simple linear regression, multiple regression, and model selection between ordinary least squares, fixed effects, and random effects. Participants were also introduced to instrumental variable estimation to address endogeneity issues, as well as dynamic panel-data models that enable time-series cross-sectional analysis. Each technique was explored thoroughly, from selecting the appropriate Stata commands to interpreting outputs and verifying model assumptions.

The Stata Training Class served not only as an educational program but also as a refresher for lecturers who had previously used Stata. Revisiting the fundamentals while learning advanced features helps maintain research quality and ensures skills remain up to date with current data analysis developments.

Beyond knowledge transfer, the training provided an opportunity for lecturers from the Accounting Study Program FEB UNS to engage directly with CESGS UNAIR statistical experts. Discussions addressed real-world challenges in accounting research, strategies for managing big data, and ways to optimize Stata resources for publications in reputable national and international journals.

Equipped with these skills, lecturers of the Accounting Study Program FEB UNS are expected to be more confident in designing quantitative research, improving teaching quality, and increasing productivity in producing data-driven academic publications.

The Data Analysis-Stata Training Class shows the Study Program contribution in achieving SDG 4: Quality Education, by improving lecturers’ capability by mastering modern quantitative analysis technique, and SDG 9: Industry, Innovation, and Infrastructure. Particularly on goals no 9.5 promoting research and academic technology capacity at higher education.