Data Analytics and Visualization

This course addresses the challenges of handling complex and large datasets in modern AI applications. The module, conducted in Python, covers data preprocessing, cleaning, storytelling, and communication. It explores techniques such as linear and nonlinear dimensionality reduction, manifold learning, and visualization of graph-structured data. Students gain essential skills to conduct exploratory analyses and design effective AI pipelines for intricate datasets.