The aim of the event is to promote data-driven thinking, provide insights into data analysis methods and tools, and serve as a platform for knowledge sharing among lecturers, researchers, and students.

Target audience:

• University and college lecturers interested in sharing their experiences in teaching data analysis

• PhD students and researchers who have worked with SPSS, R, or Python, used machine learning or large language models in their research, and would like to present their results

• University and college students whose studies involve data analysis or who are simply interested in learning more from experienced analysts

• Any member of the higher education community planning to apply data analysis solutions in the future

Topics and programme:

• Plenary sessions on the teaching and research of data analysis

• Hands-on workshops (beginner to advanced) on the following topics:

  • Introduction to data analysis

    • Practical Python examples (basic Python knowledge required)

    • SPSS Modeler fundamentals

    • Data preparation and transformation

    • Modelling techniques

  • Data mining and predictive modelling in SPSS Modeler

    • Decision trees and clustering algorithms

    • Regression and machine learning models

  • Text analytics and NLP

    • NLP techniques in Python

    • Simple chatbot development with IBM Watson

    • RAG case study

  • Statistics in SPSS – beginner and advanced levels

Important deadlines:

• Call for speakers: https://forms.office.com/e/nE44N80ULz

  • Accepted speakers will have the opportunity to publish their abstracts in the event’s ISBN-registered proceedings.

• Participant registration: https://clementine.hu/oktatas-es-rendezvenyek/konferenciak/spss-nyari-iskola

The organizers kindly ask institutions to share this opportunity with interested staff and students and, where possible, to display the attached poster on institutional websites or digital noticeboards.

Further information: SPSS(+) Summer School – Official Website