School of Applied Data Analysis: KRSU trains big data researchers
The School of Applied Data Analysis — an educational intensive aimed at developing skills in working with big data and artificial intelligence has started at the Faculty of Science and Technology KRSU. The program is implemented jointly with the University Consortium of Big Data Researchers, of which KRSU is a member.
The educational course lasts 54 academic hours and is aimed at teachers, researchers and specialists who want to master modern methods of data analysis. It is noteworthy that participation does not require knowledge of programming — training is structured in such a way that students can apply the acquired knowledge in practical and research projects immediately after completing the course.
Training formats:
• Lectures and master classes from leading experts in the field of big data.
• Analysis of practical cases on the use of AI and analytics in various fields.
• Group design work aimed at developing solutions for real problems.
• Individual consultations and expert feedback.
The programme covers:
• Basic digital analytics, key metrics and data analysis tools.
• Methods of working with arrays of information, visualization and interpretation of results.
• Adaptation of generative models to solve applied problems.
• Application of data analysis in educational and social projects.
Member reviews:
Associate Professor of the Faculty of Natural Sciences and Technology KRSU:
«This course gave me a clear understanding of how to use data in scientific research. Now I am confident that I can implement modern analytical methods in my projects».
The IT teacher shares his impressions:
«Material is presented in an accessible way, even complex concepts are explained by practical examples. Cases and teamwork were especially useful».
School of Applied Data Analysis at KRSU — is a step towards developing the digital competencies of teachers and researchers, as well as forming an expert community in the field of data analysis and artificial intelligence.
