Опис навчальної дисципліни

The discipline is designed to provide participants with the necessary knowledge required to use modern technologies and software tools for research and comprehensive data analysis in various fields of human activity. As well as for pre-processing imperfect real data, recording data in appropriate data structures, implementing interactive data visualizations, conducting the necessary preliminary research data processing, determining the type of analysis task, using neural networks and machine learning to solve data analysis problems with optimally defined parameters, evaluating results, drawing meaningful conclusions and interpreting data analysis; searching for non-obvious patterns and the ability to independently build hypotheses about the relationships of the studied data.
The purpose of teaching the discipline “Data Analysis Technologies” is to familiarize students with the peculiarities of using data analysis technologies to study structured and unstructured data. Its goals are to study clustering, classification, and regression algorithms; to master theoretical material and practical mastery of modern graphic information technologies, computer and software tools for creating a holistic data analysis,
development of data models, representation of data in graphical form, determination of statistical parameters of data. familiarization with basic concepts of data processing that will allow structuring data correctly for further processing, visualization, and modeling, management of software infrastructure and interface of data processing systems, and theory and design of data analysis systems.