METHODS OF DATA ANALYSIS FOR COMPLEX AND NETWORK DATA

Catalog description

Focuses on data analysis methods for complex, heterogeneous, and multi-modal data, including network, image, text, and dependent data. Covers building distributed data analysis pipelines, developing neural network models, and applying techniques for network and dependent data analysis. Explores key tools and frameworks in R and Python to design and implement comprehensive analysis pipelines for modern data challenges.